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ai trainer - neuroscience (fully remote- usa) Jobs in Seattle

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business teacher postsecondary ai training

Alignerr

<div>
 
 About The Role
 
 
 
 We&rsquo;re looking for experienced postsecondary Business instructors to help evaluate and improve AI systems trained on core business concepts and real-world decision-making.
 
 
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 Organization: Alignerr (Powered by Labelbox)
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 Location: Remote
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 Type: Hourly / Task-based Contract
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 Compensation: $35-70 /hour
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 Commitment: 10-40 hours/week
 
 
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 </ul>
 
 What You&rsquo;ll Do
 
 
 
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 Design and review business questions and scenarios used in AI training.
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 Evaluate the accuracy, clarity, and practical relevance of AI-generated business content.
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 Provide structured feedback to improve reasoning, explanations, and examples.
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 Apply real-world teaching experience to validate scenarios and edge cases.
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 Work independently and asynchronously to meet project deadlines.
 
 
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 </ul>
 
 Who You Are
 
 
 
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 3+ years of experience teaching business at the postsecondary level.
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 Strong understanding of core business topics (management, strategy, operations, finance basics).
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 Able to clearly explain and evaluate business reasoning in written form.
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 Comfortable reviewing structured content and providing detailed feedback.
 
 
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 </ul>
 
 Nice to Have
 
 
 
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 Master&rsquo;s degree in Business, Management, or related field.
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 Industry or applied business experience.
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 Familiarity with AI or content evaluation workflows.
 
 
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 </ul>
 
 Why Join Us
 
 
 
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 Competitive pay and flexible remote work.
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 Lead a team working on cutting-edge AI projects.
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 Exposure to advanced LLMs and how they&rsquo;re trained.
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 Freelance perks: autonomy, flexibility, and global collaboration.
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 Potential for contract extension.
 
 
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 Application Process (Takes 10-15 min)
 
 
 
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 Submit your resume
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 Complete a short screening
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 Project matching and onboarding
 
 
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 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Business Teacher (Postsecondary – AI Training)

Slack

<div>
 
 To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
 
 
 
 Job Category
 
 
 Software Engineering
 
 
 Job Details
 
 
 
 About Salesforce
 
 
 
 Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
 
 
 Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
 
 
 
 About Slack AI
 
 
 
 Slack AI's mission is to transform how people work by making Slack an AI-powered operating system. We're tackling significant challenges like unlocking collective knowledge and reducing noise, all while building a seamless, consumer-grade AI experience within users' existing workflows. Join us in shaping the future of work through AI.
 
 
 The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally important is advanced prompt engineering &mdash; the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
 
 
 
 About The Team
 
 
 
 The AI and ML Infrastructure team is part of Slack&rsquo;s Core Infrastructure organization and is responsible for the foundational systems that enable machine learning and AI across the company. The team designs, builds, and operates reliable, scalable, and high performance platforms that allow product and ML teams to develop, deploy, and operate AI driven capabilities with confidence.
 
 
 The team owns shared infrastructure, services, and tooling that support the full ML lifecycle, including model training, deployment, inference, and monitoring. As Slack AI continues to grow, the team is evolving from traditional ML deployments toward large scale, highly distributed model systems. This work involves deep architectural decisions around scalable model deployment strategies, real time feature serving at very high throughput, GPU accelerated inference at message scale, and responsible training of models on sensitive data with strong privacy and safety requirements.
 
 
 
 Core Focus Areas
 
 
 
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 ML Infrastructure - The ML Infrastructure focus area is responsible for the low level systems that power training and inference at scale. This includes architecting and maintaining distributed systems for model training, serving, and deployment using Kubernetes based platforms, GPU infrastructure, and open source ML stacks such as KubeRay and vLLM. The team delivers platform capabilities that improve the speed, reliability, and quality of ML development, including training pipelines, feature generation systems, and compute orchestration.
 </li>
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 AI Platform - The AI Platform focus area builds the tooling and platform layers that enable AI development across Slack. This includes creating developer facing tools, SDKs, and workflows that allow product teams to integrate AI into Slack features efficiently and safely. The platform supports LLM efficiency and model transition initiatives through integrations with managed services across multiple cloud providers acting as the connective layer between core infrastructure and product engineering teams.
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 We are looking for Software Engineers to join
 
 the AI Platform effort
 
 and build the developer experience that powers AI at Slack. In this role, you will treat internal engineers as your primary customers, designing and building tooling, SDKs, and evaluation frameworks that enable product teams to ship AI features faster and more reliably.
 
 
 You will work closely with ML Infrastructure, modeling, and product teams to make informed decisions around open source versus managed solutions, improve the usability and reliability of our AI platforms, and accelerate the adoption of AI across Slack.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
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 Drive the evolution of Slack&rsquo;s AI and ML platform toward a self service, developer friendly environment that improves velocity and reliability
 </li>
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 Build and maintain SDKs, feature generation tools, and CI CD pipelines that make it easy for product teams to integrate AI into their workflows
 </li>
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 Manage and evolve integrations with managed AI services across multiple cloud providers
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 Design and operate AI quality evaluation frameworks and prompt engineering infrastructure to ensure AI features meet high standards for reliability and user experience
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 Collaborate closely with ML modeling, AI quality, and product engineering teams to design platforms that meet evolving technical and business needs
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 Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
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 Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
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 Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
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 Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
 
 
 </li>
 </ul>
 
 What You Should Have
 
 
 
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 <li>
 Experience building developer tooling, libraries, or CI CD pipelines that improve engineering speed, quality, and usability
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 Experience operationalizing Large Language Models (LLMs) and building integrations with first party APIs and external cloud provider APIs such as AWS, GCP, or Azure
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 Experience with AI quality evaluation frameworks, prompt engineering infrastructure, or developer tooling for ML workflows
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 Strong proficiency in Python, PHP or Hacklang and experience with infrastructure as code and modern software engineering practices
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 Ability to communicate complex technical concepts clearly and effectively to a broad range of stakeholders
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 Love to model modern methodologies for unit tests, code review, design documentation, debugging, and troubleshooting.
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 Are curious, inquisitive, and determined to fix things when they break.
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 Work well with a team of diverse backgrounds and experience on complicated projects.
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 A related technical degree required
 </li>
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 A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
 </li>
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 Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
 </li>
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 Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
 
 
 </li>
 </ul>
 Unleash Your Potential
 
 
 When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and
 
 be your best
 
 , and our AI agents accelerate your impact so you can
 
 do your best
 
 . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
 
 
 Accommodations
 
 
 If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
 
 
 Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
 
 
 Posting Statement
 
 
 Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
 
 
 In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
 
 
 At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $117,200 - $223,900 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
</div>

Software Engineer (SWE/SWE II), AI Platform- Slack

<div>
 
 Financial Analyst (AI Training)
 
 
 
 
 About The Role
 
 
 
 What if your financial expertise could directly shape how AI understands and communicates about money, markets, and business performance? We're looking for Financial Analysts to review real financial statements, validate key metrics, and deliver concise, structured insights &mdash; helping ensure the AI systems influencing financial decision-making are accurate and reliable.
 
 
 This is a fully remote, flexible contract role. No AI background needed &mdash; just a strong command of financial analysis and a sharp eye for accuracy.
 
 
 <ul>
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 Organization: Alignerr
 </li>
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 Type: Hourly Contract
 </li>
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 Location: Remote
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 Commitment: Flexible hours, task-based assignments
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
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 <li>
 Review and analyze company-level financial statements and operational datasets
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 Validate key financial metrics, ratios, and performance trends
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 Cross-reference narrative disclosures with underlying quantitative data
 </li>
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 Summarize financial insights in clear, concise written form
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 Support recurring evaluation cycles with consistent, high-quality analysis
 </li>
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 Complete task-based assignments independently on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Experienced in financial analysis, accounting, or corporate finance
 </li>
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 Confident working with spreadsheets and structured financial data
 </li>
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 Able to communicate complex financial information clearly and concisely
 </li>
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 Detail-oriented and systematic &mdash; you notice when numbers don't add up
 </li>
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 Self-motivated and reliable when working independently without supervision
 </li>
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 No prior AI or tech experience required
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Understanding of sector-specific financial performance drivers
 </li>
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 Experience with equity research, investment analysis, or FP&amp;A
 </li>
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 Familiarity with financial modeling or data validation workflows
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 Background in auditing, valuation, or financial due diligence
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs
 </li>
 <li>
 Fully remote and flexible &mdash; work when and where it suits you
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
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 Make a direct, tangible impact on how AI understands and communicates financial information
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Financial Analyst

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Advertising is one of Amazon's fastest-growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! 
 
The Creative X team within Amazon Advertising aims to democratize access to high-quality creatives (audio, images, videos, descriptions) by building AI-driven solutions for advertisers. To accomplish this, we are investing in Agentic AI, latent-diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), reinforcement learning (RL), and related methods. 
 
You will be part of a close-knit team of applied scientists, product managers, other AI Engineers, and stakeholders who are highly collaborative and at the top of their respective fields. 
 
We are looking for talented AI Engineers who are adept at a variety of skills that enable deployment and productization of Generative AI models for advertising at scale. 
 
Every member of the team is expected to build customer (advertiser)-facing features, contribute to the collaborative spirit within the team, productize, deploy at scale, and bring advanced production-grade research to raise the bar within the team. 
 
Key job responsibilities 
<ul><li>Work closely with Applied Scientists and AI Engineers to develop AI agents and transform research code into production.</li><li>Own end to end deployment at scale of AI solutions.</li><li>Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.</li><li>Document processes and methods for technical and non technical audiences.</li><li>Contribute to code reviews.</li><li>Mentor and help recruit AI Engineer to the team.</li><li>Present outcomes and explain approaches to senior leadership.</li></ul> 
Why you will love this opportunity 
Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon&rsquo;s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. 
 
About the team 
The team consists of applied scientists and AI engineers. We reside in the Creative X organization, which focuses on creating products for advertisers that will improve the quality of the creatives within Amazon Ads.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul>
- - Experience setting up distributed training infrastructure. 
- - Hands on experiences with AI Agent development in real production.<h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li></ul>
- - Experience handling and organizing video assets. 
- - Ideally familiar with Amazon systems and deployment methods for production. 
 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually</div>

AI Engineer - GenAI, Creative-X

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
AWS Trainium is deployed at scale, with millions of chips in production, used for training and inference of frontier models. AWS Neuron is the software stack for Trainium, enabling customers to run deep learning and generative AI workloads with optimal performance and cost efficiency.
 
 
AWS Neuron is hiring a Principal Technical Product Manager to define and drive product strategy for training software on Trainium. This includes distributed training libraries, post-training workflows (RLHF, DPO, fine-tuning), reinforcement learning frameworks, and training performance optimization. Your mission is to enable researchers and operators to train frontier models at scale on Trainium, from single-node experimentation to distributed training across thousands of nodes.
 
 
You will be the champion inside AWS for frontier model builders pushing the bounds of scale and resilience for current and emerging training paradigms. You will work with customers inside and outside the company to identify key improvements and stay ahead of the training landscape. You will define how Neuron supports the training AI/ML ecosystem and what tools customers will use for their training workflows on Trainium.
 
 
To be successful, you will partner with engineering teams building training libraries and distributed training infrastructure, applied scientists developing optimization techniques, and PMs responsible for compiler, runtime, NKI, and infrastructure. You will develop deep knowledge of AI/ML training architectures, distributed training systems, model parallelism strategies, and training performance optimization to effectively define product strategy and make informed technical decisions.
 
 
The Ideal Candidate
 
 
The ideal candidate will have solid understanding of large-scale model training, distributed training architectures, post-training workflows, and reinforcement learning. They should be able to assess technical implications of training software stack decisions, understand customer needs, and drive developer experience improvements. The ideal candidate can navigate ambiguity in a fast-moving, early-stage initiative, balance competing priorities across multiple workstreams, and drive alignment across engineering and science stakeholders with excellent written and verbal communication abilities 
 
Key job responsibilities 
Training Product Strategy &amp; Roadmap
 
 
Define and execute training product strategy and roadmap working backwards from customer requirements in collaboration with engineering leadership. Define the vision for how customers train frontier models at scale on Trainium, balancing performance, developer experience, and AI/ML ecosystem compatibility. Produce PRFAQs and PRDs for training capabilities. Drive technical alignment across Neuron training libraries, distributed training infrastructure, and dependencies. Partner with PMs responsible for compiler, NKI, runtime, and infrastructure. Drive trade-offs between training performance, scalability, developer experience, and AI/ML ecosystem compatibility. Define requirements for reusable training building blocks that compose into end-to-end workflows.
 
 
Post-Training, RL &amp; Emerging Workflows
 
 
Drive strategy for post-training workflows including RLHF, DPO, reward modeling, and fine-tuning at scale. Define requirements for how Neuron supports emerging training paradigms, model architectures, and RL-based optimization loops. Lead the product experience for RL research-to-production workflows on Trainium. Create and optimize RL libraries and frameworks to help researchers and production model builders.
 
 
Customer Engagement &amp; Enablement
 
 
Work with BD, Solutions Architecture, and GTM teams to engage customers training frontier models on Trainium. Understand their distributed training challenges, RL needs, performance optimization requirements, and framework preferences. Translate customer pain points into product requirements. Define success metrics for training adoption and performance. Support customer enablement for training migration and optimization.
 
 
Training AI/ML Ecosystem &amp; Delivery
 
 
Define how Neuron supports the training AI/ML ecosystem and what tools customers will use for their training workflows on Trainium. Own the technical depth on training-specific AI/ML ecosystem tools and define how Neuron's training libraries integrate with them. Track training-specific AI/ML ecosystem trends and feed them into product planning. Drive open source community engagement and upstream contributions for training-related tools. Coordinate with BD on partnership discussions where training-specific technical input is needed.
 
 
Launch &amp; Go-to-Market
 
 
Lead end-to-end launches for training capabilities, coordinating documentation, field enablement, and customer communications. Partner with Marketing and Solutions Architecture to drive awareness and adoption. Define launch success criteria and track adoption metrics.
 
 
About the team 
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We operate with startup like velocity, prioritizing talent acquisition, hands on leadership, and flexible organization. Our senior members enjoy one on one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. 
 
 
 
 
Diverse Experiences 
 
 
 
 
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. 
 
 
 
 
Inclusive Team Culture 
 
 
 
 
Here at AWS, it's in our nature to learn and be curious. Our employee led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
 
 
 
Work/Life Balance 
 
 
 
 
We value work life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. 
 
 
 
 
Mentorship &amp; Career Growth 
 
 
 
 
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge sharing, mentorship and other career advancing resources here to help you develop into a better rounded professional. 
 
 
 
 
About Amazon Annapurna Labs 
 
 
 
 
Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. 
 
 
 
 
About AWS Utility Computing (UC) 
 
 
 
 
AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. 
 
 
 
 
About AWS 
 
 
 
 
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating, that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
 
<h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>7+ years of working as a Technical Product Manager experience</li><li>Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent</li><li>Experience with large-scale model training workflows, including solid knowledge of distributed training concepts</li><li>Familiarity with major AI/ML training frameworks (JAX or PyTorch) and how training libraries interact with them</li><li>Experience driving product strategy, long-term roadmap development, and cross-organizational alignment</li><li>Excellent written and verbal communication abilities, including executive-level communication</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with PyTorch or JAX distributed training</li><li>Track record of driving developer training libraries and tools</li><li>Experience with design and scaling of training optimization software (e.g., NeMo, TorchTitan, TRL, VeRL, MaxText, AXLearn, or similar)</li><li>Experience leading RL for research-to-production at scale</li><li>Experience with post-training workflows including RLHF, DPO, reward modeling, and fine-tuning</li><li>Experience with AI/ML training accelerators and hardware, including training performance optimization, profiling, and tooling</li><li>Experience with distributed training of large-scale models including model parallel training techniques (tensor, pipeline, sequence, and expert parallelism)</li><li>Experience working on open source and GitHub-first developer products with deep customer interactions</li><li>Track record of driving open standards and AI/ML ecosystem integration for training workflows</li><li>Experience operating in early-stage, ambiguous environments with startup-like velocity</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 208,300.00 - 281,800.00 USD annually 
USA, WA, SEATTLE - 181,100.00 - 245,000.00 USD annually 
USA, WA, Seattle - 181,100.00 - 245,000.00 USD annually</div>

Principal PMT-ES - AI/ML Training, Annapurna Labs

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The AWS Data and AI Strategic Partner GTM team supports the world's most innovative partners - from breakthrough startups to Large Language Model Providers (LLMs) to global tech giants - helping them envision and build the future of autonomous AI systems. The Senior WW Partner GTM Specialist for Agentic AI and AI Security will be the driving force behind AWS's partner strategy for Agentic AI. Your strategies will shape how businesses evolve in the age of AI agents, your insights will influence product directions at AWS, and your vision will help partners transform their business models for the AI era. 
 
This role sits at the intersection of breakthrough technology and business transformation. You'll pioneer new business models in the rapidly evolving AI agent space while working with the most sophisticated AI technologies and partners globally. As a key strategist, you'll shape how AWS and our partners approach autonomous AI systems, building programs that will scale Agentic AI adoption worldwide. Your thought leadership will help define one of technology's most dynamic spaces, influencing how businesses across industries implement and benefit from AI agents. 
 
If you're excited about being at the forefront of the AI revolution and want to make a lasting impact on how businesses harness autonomous AI agents, this role offers you the platform, the resources, and the opportunity to shape the future. 
 
Key job responsibilities 
Key Responsibilities: 
<ul><li>Collaborate with AWS GenAI partners, helping them envision and implement agent-based solutions that deliver exceptional customer value. Your insights will shape both partner strategies and AWS's approach to this transformative technology.</li><li>Drive strategic initiatives to accelerate Agentic AI adoption with a core set of strategic partners</li><li>Develop and execute comprehensive partner strategies that scale agent-based solutions and use cases</li><li>Provide thought leadership on how Agentic AI transforms partner business models and creates new opportunities</li><li>Build and manage programs for partner enablement, certification, and funding focused on agent technologies</li><li>Analyze market trends and gather partner/customer feedback to inform AWS's Agentic AI strategy</li><li>Create scalable frameworks that enable partners to successfully build and deploy agent-based solutions</li><li>Collaborate with AWS service teams to align partner requirements with product development</li><li>Lead the development of partner-ready go-to-market content, resources, and activities
</li></ul> 
A day in the life 
<ul><li>Develop AWS strategy for Agentic AI and AI Security partner GTM</li><li>Drive consensus across service teams, field sales, partner management, marketing, legal, and partner program teams.</li><li>Conduct analysis on AWS customer and partner adoption trends
</li><li>Work with a strategic Generative AI or AI Security partner to define and execute joint sales and Go-to-Market (GTM) programs.</li><li>Drive a special project of strategic initiative across AWS highly matrixed organization</li><li>Analyze performance metrics and prepare MBRs, 2x2 for leadership review. Coordinate with various teams to ensure alignment on deliverables and timelines.</li><li>Build customer and field facing enablement materials including sales plays, decks, and solution briefs</li></ul> 
About the team 
The AWS Data &amp; AI Partner GTM team isn't just building partnerships - we're creating the future of intelligent systems through an elite network of innovators. We're the driving force behind AWS's most strategic partner initiatives across data, GenAI, and autonomous agents, bringing together the world's most innovative partners to pioneer transformative solutions. 
 
Our vision is bold: we're building the world's premier Data &amp; AI partner network, where technical excellence drives remarkable innovation. From helping enterprises unlock the value of their data to advancing the frontier of GenAI, we champion emerging technologies that reshape how businesses operate. Our team works at the intersection of partner innovation and AWS's most strategic initiatives, from data foundations to autonomous agents, creating opportunities that define the future of business technology. 
 
What makes our team unique is our position as strategic orchestrators - we're not just enabling partner success, we're shaping the future of data and AI adoption. We work directly with category-defining ISVs and startups as well as AWS' most innovative service teams. Through our work, we're not just witnessing the data and AI revolution - we're actively driving it, creating scalable models that empower both our partners and AWS field teams to accelerate service adoption and deliver exceptional customer outcomes. Whether it's helping partners build advanced data analytics solutions or develop sophisticated GenAI applications, we're at the forefront of technology's most exciting frontiers. 
 
Diverse Experiences 
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
Inclusive Team Culture 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>5+ years of developing, negotiating and executing business agreements experience</li><li>5+ years of Go-To-Market, Business Development, Sales, or Consulting experience</li><li>5+ years of working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience</li><li>Experience developing strategies that influence leadership decisions at the organizational level</li><li>Experience managing programs across cross functional teams, building processes and coordinating release schedules</li><li>Experience selling enterprise software or cloud-based applications</li><li>Experience explaining complex technical concepts to various business and technical audiences</li><li>Experience presenting to both technical and non-technical executive audiences</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience interpreting data and making business recommendations</li><li>Experience identifying, negotiating, and executing complex legal agreements</li><li>Experience in AI Security, Cybersecurity or related field</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Mountain View - 162,700.00 - 220,200.00 USD annually 
USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually 
USA, NY, New York - 162,700.00 - 220,200.00 USD annually 
USA, VA, Arlington - 147,900.00 - 200,100.00 USD annually 
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually</div>

Sr. Worldwide Partner GTM Specialist - Agentic AI, Data & AI GTM

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Design, Development and Delivery (D3) team provides shared development services including Creative Design, Video Production, Interactive Media Development and Localization.
 
 
We enable the global AWS Field to drive best-in-class experiences for AWS customers through their cloud journey. We design, develop and deliver bar-raising training enablement, and measure the business impact of our work. 
 
We're seeking a Design Technologist who operates at the intersection of design craft and technical execution. You'll serve within a multidisciplinary team to shape scalable systems and influence stakeholders. 
 
You are equally passionate about design and development with strong front-end proficiency as a creative problem solver with an eye for world class functional design. You are able to bring disruptive ideas for how to conceive, create, and deliver engaging enablement experiences.
 
 
This is an individual contributor role requiring strengths in UX/UI design, e-learning, AI / programming languages. Experience as a training / enablement consultant, digital agency, or video production studio is highly valued. 
 
Key job responsibilities 
Design and develop high quality, scalable and maintainable solutions.
 
Shape the future of AI-powered experiences.
 
Present work to peers, stakeholders, program teams and executive leadership.
 
Identify, ideate and demonstrate features for future offerings.
 
Please include your online portfolio and project examples with your resume.
 
 
A day in the life 
D3 is a creative production team comprising of skilled professionals &amp; strategic partners who are able to guide each project from strategy to concept and delivery through to Localization.
 
 
Functioning as one team, we avoid silos and nurture accountability by bringing together people, data and ideas to build solutions. We value each others growth, creativity and unique skillsets as a cohort of trusted collaborators.
 
 
We support multiple layers of customers and are dedicated to providing a solution-oriented approach.
 
We are experts in our field and prioritize customer needs and their goals.
 
 
D3 balances innovation with time-to-deliver by prioritizing long term impacts through the application of AI-driven speed and thoughtfulness. 
 
About the team 
The Design, Development and Delivery (D3) team provides shared development services including Creative Design, Video Production, Interactive Media Development and Localization. We support, scale and deliver key initiatives to the AWS Sales Field. We strive to develop consumable content that allows our field teams to speak to customers about their business problems and solve them using AWS.
<h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>Have coding samples in front end programming languages</li><li>2+ years of front-end technologist, engineer, or UX prototyper experience</li><li>Experience with UI design for complex workflows and for end users</li><li>Experience designing and building enterprise tools</li><li>Knowledge of general AI tools</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Knowledge of technologies such as JavaScript/NodeJS, HTML/CSS, Responsive/Adaptive Design</li><li>Knowledge of Python, Javascript, and source control (Git)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, VA, Arlington - 131,800.00 - 178,300.00 USD annually 
USA, WA, Seattle - 131,800.00 - 178,300.00 USD annually</div>

Design Technologist, D3 (Design, Development & Delivery) Team

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