2026 fall applied science internship - reinforcement learning & optimization (machine learning) - united states, phd student science recruiting

ai trainer - neuroscience (fully remote- usa)

business teacher (postsecondary – ai training)

clinical research coordinator - neuroscience research

computer sciences - graduates - ai training - seattle, us

aircraft maintenance technician - a&p mechanic

2026 fall applied science internship - reinforcement learning & optimization (machine learning) - united states, phd student science recruiting Jobs in Seattle

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

business teacher (postsecondary – ai training) Jobs in Seattle

clinical research coordinator - neuroscience research Jobs in Seattle

computer sciences - graduates - ai training - seattle, us Jobs in Seattle

ai trainer neuroscience fully remote usa

Prolific

<div>
 AI Trainer - Neuroscience Specialist (Remote Advisory)
 
 
 
 About Prolific
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 
 
 
 The role
 
 
 
 We are seeking
 
 Neuroscience Experts
 
 to act as evaluators for a high-level AI verification project. AI models are now generating complex technical summaries, and we need specialists to ensure these outputs maintain scientific integrity and factual accuracy.
 
 
 We need experts who can navigate dense scientific literature to judge the accuracy and structural integrity of AI-generated graphical abstracts. This is a flexible, ad hoc project paying
 
 $40+/h
 
 where your technical expertise directly influences how AI understands and summarizes complex research.
 
 
 
 What you'll bring
 
 
 
 <ul>
 <li>
 Specialized knowledge: Deep expertise in Neuroscience
 </li>
 <li>
 Advanced Academic Credentials: you must hold a Master's or PhD in Neuroscience or a related field.
 </li>
 <li>
 Analytical Skills: history with fact-checking tasks and strong attention to detail
 </li>
 <li>
 Nice to have: Previous experience with AI-related training or evaluation tasks and a background in scientific publishing or peer review.
 
 
 </li>
 </ul>
 
 What you'll be doing in the role
 
 
 
 <ul>
 <li>
 
 Scientific Review:
 
 review scientific papers alongside LLM-generated graphical abstracts.
 </li>
 <li>
 
 Fact-Checking:
 
 identify issues and inaccuracies where the graphical abstract does not faithfully represent the source scientific paper.
 </li>
 <li>
 
 Expert Verification:
 
 use your domain knowledge to ensure that technical concepts are visually and textually summarized correctly.
 
 
 </li>
 </ul>
 
 Please note that to qualify for this study you will be required to pass a paid skills assessment with a sample paper and graphical abstract
 
 
 
 
 Why Prolific is a great platform to join as a Participant
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 
 
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 
 
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breadth and the best of humanity.
 
 
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 
 Privacy Statement
 
 
 
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>

AI Trainer - Neuroscience (Fully Remote- USA)

Alignerr

<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>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: Flexible hours, task-based assignments
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and analyze company-level financial statements and operational datasets
 </li>
 <li>
 Validate key financial metrics, ratios, and performance trends
 </li>
 <li>
 Cross-reference narrative disclosures with underlying quantitative data
 </li>
 <li>
 Summarize financial insights in clear, concise written form
 </li>
 <li>
 Support recurring evaluation cycles with consistent, high-quality analysis
 </li>
 <li>
 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>
 <li>
 Confident working with spreadsheets and structured financial data
 </li>
 <li>
 Able to communicate complex financial information clearly and concisely
 </li>
 <li>
 Detail-oriented and systematic &mdash; you notice when numbers don't add up
 </li>
 <li>
 Self-motivated and reliable when working independently without supervision
 </li>
 <li>
 No prior AI or tech experience required
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Understanding of sector-specific financial performance drivers
 </li>
 <li>
 Experience with equity research, investment analysis, or FP&amp;A
 </li>
 <li>
 Familiarity with financial modeling or data validation workflows
 </li>
 <li>
 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>
 <li>
 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 Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
To support the growing demand for AWS services and ensure our field teams are equipped with the necessary skills, we are seeking a detail-oriented and highly organized Training Coordinator to join our Global Trainer Center of Excellence (GTCoE). This role is crucial in orchestrating the day-to-day operations that ensure the smooth delivery of key Instructor-Led Enablement Programs to our Commercial Sales (field) organization. 
 
As a Training Coordinator, you will be at the heart of our training operations, managing logistics, schedules, and communications for a wide range of training programs. Your role will be instrumental in creating seamless learning experiences for our field teams, from coordinating complex event schedules to managing course materials and participant feedback. 
 
This position offers an opportunity to contribute to AWS's growth by supporting the development and delivery of advanced training programs. You'll work closely with instructors, subject matter experts, and various internal teams to ensure that our enablement initiatives are executed flawlessly and align with AWS's evolving business strategies and customer needs. 
 
Your attention to detail, ability to manage multiple priorities, and passion for continuous improvement will be key in this role. While you may not be delivering the training directly, your work behind the scenes is critical in empowering our instructors and learners to focus on skill development and knowledge transfer. 
 
Key job responsibilities 
1. Manage all Instructor-led training (ILT) program logistics, including scheduling, room bookings, communications, learner invites and reminders for both in-person/classroom and remote (e.g. Webex) modalities. 
2. Perform forward-looking schedule management of both internal and external instructors, facilitators and subject-matter-experts in accordance with program prioritization direction. 
3. Keep records up-to-date at all times, ensuring they are accurate and current. 
4. Manage class capacity and registration using learning/course (LMS) management platforms 
5. Serve as a point of contact for learners regarding program-related questions &ndash; referring and escalating as necessary. 
6. Coordinate with various internal teams to ensure seamless execution of training programs. 
7. Manage training inventory, including materials, equipment, and digital resources. 
8. Monitor and report on training program metrics, including attendance rates, completion rates, and participant feedback. 
9. Assist in the creation and maintenance of training documentation, including process guides and standard operating procedures. 
10. Support the onboarding process for new trainers and coordinators. 
11. Manage vendor relationships related to training logistics and materials. 
12. Assist in budget tracking and reporting for training programs. 
 
A day in the life 
As a Training Coordinator, your day is fast-paced and varied. You might start by reviewing the day's training schedule and sending out final reminders to participants.
 
 
Mid-morning, you might find yourself in a planning meeting for an upcoming large-scale training event, coordinating with various teams on logistics, content, and participant selection. After lunch, you could be analyzing feedback from recent training sessions, compiling insights to share with the team. 
 
In the afternoon, you might be working with instructors on their training schedules, discussing training requests from stakeholders, preparing materials, or coordinating with vendors. 
 
Your day might conclude with a check-in meeting with your manager, discussing progress on ongoing projects. Throughout the day, you're constantly monitoring your email and chat, responding to queries from trainers, participants, and other stakeholders, ensuring everyone has the information they need for successful training experiences. 
 
About the team 
The Global Trainer Center of Excellence (GTCoE) is a vital component of the AWS Worldwide Field Enablement (WWFE) organization. As part of WWFE, the GTCoE is dedicated to creating innovative, scalable, and consistent learning experiences that align with AWS's evolving business strategies and customer needs. 
 
By leveraging a diverse team of experienced instructors and WWFE instructional designers, the GTCoE ensures that AWS field personnel are equipped with the latest skills, knowledge, and methodologies to effectively engage with customers and drive business growth. The GTCoE plays a crucial role in maintaining AWS's competitive edge by continuously upskilling the global field organization, fostering a culture of continuous learning, and directly contributing to the company's overall success. 
 
The GTCoE is at the forefront of innovation in training methodologies, leveraging AI, adaptive learning, and other emerging technologies to create immersive, personalized learning experiences and accelerate program development.
<h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree in a relevant field or equivalent work experience</li><li>Experience managing multiple complex calendars, planning and organizing events of all sizes, and coordinating domestic and international travel, or experience managing multiple calendars</li><li>Experience leading prioritization of tasks, team scheduling, time management, and meeting deadlines</li><li>Experience dealing effectively with customers during problem resolution and operating efficiently under pressure, or experience driving collaborative projects from conception to delivery</li><li>Knowledge of Microsoft Office Suite (Excel, Word, SharePoint, and PowerPoint)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience managing training programs</li><li>Experience in a fast-paced, high-tech company</li><li>Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization</li><li>Experience with budgeting, scheduling and cost reports</li><li>Experience with Learning Management Systems (LMS) administration and reporting</li><li>Experience with virtual meeting platforms (e.g., Webex, Zoom, Microsoft Teams)</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, WA, Seattle - 80,200.00 - 119,100.00 USD annually</div>

Training Coordinator, WWFE Global Trainer Centre of Excellence

<div>
 
 English Writing Generalist (AI Training)
 
 
 
 
 About The Role
 
 
 
 We're looking for skilled English writers to help evaluate and improve AI-generated content. Your command of language &mdash; from grammar and structure to tone and clarity &mdash; will directly shape how AI systems communicate in English. If you have a sharp eye for detail and a love of well-crafted writing, this role is for you.
 
 
 <ul>
 <li>
 Organization: Alignerr (Powered by Labelbox)
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Write, edit, and refine English content for clarity, accuracy, and tone
 </li>
 <li>
 Review AI-generated text for grammar, spelling, structure, and consistency
 </li>
 <li>
 Identify subtle errors, ambiguities, and inconsistencies in written content
 </li>
 <li>
 Apply detailed style guidelines consistently across a variety of writing tasks
 </li>
 <li>
 Provide structured feedback that helps improve AI language quality
 </li>
 <li>
 Work independently and asynchronously on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Native or near-native English fluency with strong written communication skills
 </li>
 <li>
 Bachelor's degree in English, Humanities, Journalism, or a related field
 </li>
 <li>
 Extremely detail-oriented with sharp proofreading instincts
 </li>
 <li>
 Comfortable evaluating written content across a wide range of topics and styles
 </li>
 <li>
 Reliable, self-motivated, and able to meet deadlines independently
 </li>
 <li>
 No prior AI experience required
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Background in editing, copywriting, content strategy, or journalism
 </li>
 <li>
 Experience following style guides such as AP, Chicago, or MLA
 </li>
 <li>
 Familiarity with AI writing tools or language evaluation workflows
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects with top research labs
 </li>
 <li>
 Fully remote and flexible &mdash; work on your own schedule
 </li>
 <li>
 Freelance perks: autonomy, variety, and meaningful work
 </li>
 <li>
 Contribute to technology that shapes how AI communicates in English
 </li>
 <li>
 Potential for ongoing work and contract extension
 </li>
 </ul>
</div>

English Writing Generalist

<div>
 
 Population Health Informaticist (AI Training)
 
 
 
 
 About The Role
 
 
 
 We're partnering with leading AI research teams to build smarter, more accurate AI systems &mdash; and we need population health experts to help get it right. As a Population Health Informaticist, you'll apply your expertise in health data, analytics, and public health to evaluate and improve how AI understands and reasons about population-level health challenges.
 
 
 Your work will directly shape AI that supports better health decisions, identifies disparities, and drives meaningful outcomes at scale.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Evaluate AI-generated content related to population health data, analytics, and public health strategies for accuracy and quality
 </li>
 <li>
 Apply your expertise to identify gaps, errors, or oversimplifications in how AI interprets health trends and disparities
 </li>
 <li>
 Provide structured, expert feedback on analytical reasoning, data interpretation, and health informatics concepts
 </li>
 <li>
 Review and assess AI outputs involving dashboards, data pipelines, and population health reporting frameworks
 </li>
 <li>
 Help translate complex health data scenarios into clear, well-reasoned AI training examples
 </li>
 <li>
 Work independently and asynchronously on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Experienced working with healthcare, public health, or population-level datasets
 </li>
 <li>
 Strong analytical thinker with a solid understanding of health informatics principles
 </li>
 <li>
 Skilled at data visualization, reporting, and communicating insights to diverse stakeholders
 </li>
 <li>
 Able to evaluate and critique health-related analytical content with precision
 </li>
 <li>
 Detail-oriented, self-motivated, and comfortable working independently
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Background in epidemiology, biostatistics, or public health surveillance
 </li>
 <li>
 Experience with data annotation, quality assurance, or evaluation systems
 </li>
 <li>
 Familiarity with health data standards (e.g., HL7, FHIR, ICD coding)
 </li>
 <li>
 Prior work with AI, machine learning datasets, or health technology platforms
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects with top research labs and health-focused teams
 </li>
 <li>
 Fully remote and flexible &mdash; work on your own schedule, from anywhere
 </li>
 <li>
 Freelance perks: autonomy, variety, and global collaboration
 </li>
 <li>
 Contribute to meaningful work that helps AI better serve public health goals
 </li>
 <li>
 Potential for ongoing work and contract extension
 </li>
 </ul>
</div>

Population Health Informaticist

<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

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<div></div><div> 
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: 
<ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul></div> 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul><li>
Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience.</li><li>
5 years of work experience in a technical role (e.g., software engineering, solutions consultant, etc.) or equivalent technical experience.</li></ul><h3 class="jobSectionHeader"> 
Preferred qualifications:</h3><ul><li>
Experience designing and implementing evaluation systems, benchmarks, or quality metrics for AI/LLM-based systems.</li><li>
Experience building applications or agents with agents and Large Language Models (LLMs).</li><li>
Understanding of context engineering, RAG (Retrieval-Augmented Generation), tools (e.g., MCP, Skills, CLI), and the principles of designing systems for AI agents.</li><li>
Familiarity with agentic frameworks and protocols (e.g., Model Context Protocol, LangChain, Skills).</li><li>
Ability to take ownership of solutions and exert influence without authority.</li><li>
Track record of influencing product strategy through data-driven insights, friction logging, or &quot;customer zero&quot; dogfooding.</li><li>
</li></ul><div></div><div><h2 class="jobSectionHeader">About the job</h2>
Passionate people are everywhere at Google. In Developer Relations, we get excited to collaborate and connect with the communities that love technology as much as we do. Part community manager and part developer advocate, Developer Relations Engineers collaborate with developers at conferences and online, and advocate for developers interests internally at Google. Not afraid to be hands-on, you write sample code and client libraries as well as participate in developer forums and support queues to troubleshoot and debug coding problems developers encounter. Internally, you work with product engineering teams to improve our products by conveying feedback from developers, reviewing API designs and testing new features. Chrome, Android, App Engine, HTML5 as well as our core Google Apps and Ads APIs are just some of the platforms you promote and support. 
 
With your technical expertise, you drive strategy around fostering a community of developers who work with Google technologies. An ardent advocate for these developers, you represent their voice internally to our Product Managers and serve as their Google support in application development and technology implementation.

Geo DevRel owns and shapes the developer experience of 1M+ global devlopers on the world's leading location developer platform. We work across organization wide goals partnering with product, engineering &amp; GTM to drive AI-native developer growth and awareness. 
 
In this role, you'll stand at the intersection of geospatial technology and the new frontier of AI-assisted development, crafting the experiences that make our platform indispensable to the next generation of AI-powered makers.
The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives. 
 
The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.
The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Design, build, and maintain the high-quality code samples, reference implementations, and agentic solutions (MCPs, Skills).</li>
<li>Act as &quot;customer zero&quot; for our AI-assisted developer experience.</li>
<li>Lead technical integrations with key partners in the AI ecosystem (e.g., AI IDEs, agent frameworks like LangChain, and platforms like Replit) to meet developers where they are and drive adoption of our &quot;build with AI&quot; capabilities.</li>
<li>Serve as a technical authority on building with Google Maps and AI. Grow our developer community.</li>
<li>Use data from evaluations, friction logging, and community engagement, ensuring our platform roadmap is optimized for the needs of AI-powered makers.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior DevRel Engineer, Build with AI, Geo Makers

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