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entrepreneurship instructor ai training

Alignerr

<div>
 
 About The Role
 
 
 
 We&rsquo;re looking for entrepreneurship instructors to help evaluate AI systems trained on startups, innovation, and business planning.
 
 
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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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 Review startup and entrepreneurship scenarios used in AI training.
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 Assess business models, assumptions, and go-to-market logic.
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 Identify unrealistic projections or flawed reasoning.
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 Provide structured feedback to improve practical relevance.
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 Work independently and asynchronously to meet project deadlines.
 
 
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 Who You Are
 
 
 
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 3+ years of experience teaching entrepreneurship or small business.
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 Strong understanding of business models and early-stage decision-making.
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 Able to critically evaluate written business plans and scenarios.
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 Comfortable providing applied, real-world feedback.
 
 
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 Nice to Have
 
 
 
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 MBA or entrepreneurship-focused graduate degree.
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 Founder or startup advisory 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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 </ul>
 
 Application Process (Takes 10-15 min)
 
 
 
 <ul>
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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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 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Entrepreneurship Instructor (AI Training)

Moodys Northwest Consulting

<div>
 
 
 Role:
 
 AI Enterprise Architect, Lead
 
 
 
 Location:
 
 Mountlake Terrace, Seattle, WA (Hybrid), 3 days in the office and 2 days remote.
 
 
 
 Duration:
 
 Long term contract
 
 
 
 
 
 
 Overview
 
 
 <ul>
 <li>
 We are seeking an experienced AI Enterprise Architect, Lead to drive enterprise-wide AI enablement and lead a small, high-performing pod focused on deploying AI capabilities across the organization. This individual will serve as both a hands-on technical leader and strategic architect, with the executive-level presence required to engage senior stakeholders and influence enterprise direction.
 </li>
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 You will lead a pod of three engineers, guiding the design, development, and integration of AI-driven applications and services into existing business and technical ecosystems.
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 This role is technical and AI-focused, with emphasis on AI concepts, Python, and machine learning, along with the ability to partner directly with leadership to drive adoption at scale.
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 </ul>
 
 
 
 
 
 Description
 
 
 
 This role will require below knowledge and will have responsibilities respectively:
 
 
 
 AI/ML Concepts:
 
 
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 Be ready to discuss core AI/ML concepts and projects you&rsquo;ve worked on.
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 Be able to articulate how you applied these concepts in practical scenarios.
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 </ul>
 
 
 RAG (Retrieval-Augmented Generation) Concepts:
 
 
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 Review the basics of RAG and how it works in AI systems.
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 Understand its applications and be able to explain it simply.
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 </ul>
 
 
 Agentic AI Frameworks:
 
 
 <ul>
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 Familiarize yourself with agentic AI frameworks and their purpose.
 </li>
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 Be ready to discuss any experience or theoretical understanding.
 </li>
 </ul>
 
 
 Platform-Building Knowledge:
 
 
 <ul>
 <li>
 Understand the process of designing and building AI platforms.
 </li>
 <li>
 Be ready to explain your thought process in approaching platform-level problems.
 </li>
 </ul>
 
 
 Communication &amp; Executive Presence:
 
 
 <ul>
 <li>
 Practice articulating your work clearly and concisely
 </li>
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 Be prepared to explain decisions, trade-offs, and approaches in an executive-friendly manner
 </li>
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 Demonstrate the ability to lead conversations with Directors/VPs, align cross-functional teams, and influence outcomes
 </li>
 </ul>
 
 
 
 
 
 The ideal candidate should have:
 
 
 <ul>
 <li>
 Strong technical skills (Python, Java)
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 Understanding of Azure AI Foundry / Azure AI ecosystem
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 Strong platform engineering experience
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 Understanding of AI frameworks and ecosystem
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 Executive-level presence and the ability to work confidently with senior leadership, enterprise stakeholders, and cross-functional partners
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 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
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 Lead technical delivery for AI initiatives, overseeing a pod of three engineers to build and deploy AI-powered solutions
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 Design and implement AI architectures that integrate seamlessly with enterprise platforms, data sources, and security frameworks
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 Collaborate with business and technology teams to identify high-impact AI use cases and translate them into scalable, production-grade solutions
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 Partner with executive stakeholders to drive enterprise AI strategy, roadmap alignment, and prioritization of AI initiatives
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 Build and optimize MLOps and LLMOps pipelines, including model training, deployment, monitoring, and continuous improvement
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 Provide technical leadership and mentorship, fostering a culture of innovation, quality, and velocity
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 Partner with enterprise architecture and security teams to ensure all solutions meet compliance, governance, and data privacy standards
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 Contribute to AI strategy, tooling selection, and platform evolution to support enterprise-wide enablement
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 Serve as a senior technical advisor, capable of presenting architecture options, risk trade-offs, and solution direction to leadership audiences
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
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 7+ years of experience in software development with a strong focus on modern programming languages (e.g., Python, Java, TypeScript).
 </li>
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 3+ years of experience in AI/ML solution architecture or AI engineering leadership.
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 Proven experience leading small engineering teams or pods.
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 Strong understanding of LLMs, GenAI, NLP, and integration with enterprise systems.
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 Experience with cloud platforms (Azure preferred), containerization (Docker/Kubernetes), and MLOps frameworks.
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 Familiarity with data privacy and security compliance in regulated industries.
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 Strong problem-solving skills and the ability to translate complex concepts into clear, actionable strategies.
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 Demonstrated executive/leadership-level presence, including experience presenting AI/architecture solutions to senior stakeholders (Director/VP/C-suite) and driving alignment across teams
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 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
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 Experience deploying AI solutions in healthcare or other highly regulated environments.
 </li>
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 Hands-on experience integrating with LLM platforms (OpenAI, Azure OpenAI, Hugging Face, or equivalent).
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 Working knowledge of data pipelines, API development, and prompt engineering.
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 Demonstrated ability to balance strategic vision with hands-on execution.
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 Experience influencing enterprise AI roadmaps, technology decisions, or platform strategy in partnership with executive leadership
 </li>
 </ul>
 
 
 
 
 
 Why Join
 
 
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 <li>
 Opportunity to lead transformative AI initiatives at a leading healthcare organization.
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 High visibility and impact &mdash; enabling enterprise-wide AI adoption.
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 Collaborative, forward-thinking team and culture.
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 Room to influence technology strategy and shape platform direction.
 </li>
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 Chance to operate at an enterprise leadership level and shape how AI is adopted across the organization
 </li>
 </ul>
 
 
 
 
 
 About us:
 
 
 
 Moodys NWC is a result-driven management consulting firm headquartered in the Seattle metropolitan area. We specialize in best-fit consulting based on client needs, with a focus on all aspects of digital product management. We have an active role that we are looking to assist our premier client with and are seeking an experienced consultant with the right set of values. For us, personality fit is paramount. We look for self-starters who are experienced yet flexible in their approach and who maintain a customer-focused outlook. Our consultants go above and beyond, stay focused on the end goal, and do what it takes to deliver results. If you believe you align with the above qualities, please review the opportunity and share why you are a strong fit for Moodys NWC.
 
 
 
 
 
 Our compensation reflects the cost of labor across several US geographic markets. The salary for this position ranges from $160,000/year in our lowest geographic market up to $200,000/year in our highest geographic market. Pay is based on factors including market location and may vary depending on knowledge, skills, and experience. Additional compensation includes medical, vision, and dental benefits.
 
 
 
 
 
 Moodys NWC believes in a culture of diversity, acceptance, and belonging. We are committed to equal opportunity in hiring without discrimination based on race, color, creed, national origin, sex, marital status, age, sexual orientation, gender identity, disability, medical status, or veteran status. Moodys NWC complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities. If you require reasonable accommodation during the application or interview process, please submit a contact form here: https://moodysnwc.com/contact-us/
 
</div>

Artificial Intelligence Consultant

Google

<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:<div><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 (statutory, where applicable); 5 days/event (discretionary)</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: New York, NY, USA; Chicago, IL, USA; Seattle, WA, USA; Sunnyvale, CA, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.</li>
<li>10 years of experience with designing cloud-native enterprise-grade technical architecture in customer-facing or support roles.</li>
<li>1 year of experience with Conversational AI technologies, including designing conversational flows/agents and operating Speech-to-Text, Text-to-Speech (STT/TTS).</li>
<li>Experience building or leveraging AI solutions, ML APIs, prompting, agent tooling, eval frameworks, and modern AI frameworks, and embedding into demos.</li>
<li>Experience engaging with and presenting to both technical stakeholders and executive leadership.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience with building conversational applications and integrating it with third-party tooling (e.g., CRM, ticketing, telephony platforms).</li>
<li>Experience coding in Java, C++, or Python and expertise in vibe coding.</li>
<li>Familiarity with Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), machine learning templates, and document/image AI.</li>
<li>Understanding of modern development methodologies and application performance tuning.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
 
 
As an Applied AI Customer Engineer, you will accelerate Google Cloud&rsquo;s success by providing technical expertise in Conversational Artificial Intelligence and customer experience. In this role, you will bridge the gap between business issues and highly technical Generative AI solutions. You will partner with Sales teams on high-stakes engagements as a subject matter expert to differentiate Google Cloud, and will be the lead architect for advanced Conversational AI frameworks to design resilient and scalable AI solutions. You will help customers design innovative architectures and solve customer experience issues using first-party Generative AI solutions. You are both a technical expert and a thought leader who will help enterprises navigate Conversational Artificial Intelligence and customer experience from proof-of-concept to production.Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.<div></div><div> 
The US base salary range for this full-time position is $165,000-$245,000 + 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.</div><div></div><div> 
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><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Serve as a trusted advisor to prospective and existing customers, explaining technical features and designing cloud-based architectures.</li>
<li>Provide technical guidance on integrating AI solutions with existing enterprise data stacks and third-party stacks such as CRM, etc.</li>
<li>Lead the rapid development of Proof-of-Concepts (PoCs) and Minimum Viable Products (MVPs), demonstrating the practical application of Google Cloud solutions, troubleshoot technical roadblocks, and recommend integration strategies for end-to-end Google Cloud solutions.</li>
<li>Collaborate with product management to prioritize solutions that drive customer adoption and share in-depth AI expertise through product briefings and technology advocacy.</li>
<li>Present the business value of Applied AI solutions to executive leaders and represent Google Cloud at conferences and industry events.</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>

Customer Engineer III, Applied AI, Google Cloud

Oracle

<div>Oracle Cloud Infrastructure (OCI) delivers mission-critical applications for top tier enterprises around the world. Our cloud offers unmatched hyperscale, multitenant services deployed in more than 50 regions worldwide. OCI is expanding its mission beyond the traditional boundaries of public cloud to include dedicated, hybrid and multi cloud, edge computing, and more.
The OCI Developer Platform is the backbone of internal and external engineering on Oracle Cloud Infrastructure, delivering CI/CD, tooling, automation and platform services at massive scale. We are evolving toward a modern, more efficient organization leveraging AI.
 
 
We are looking for a Principal AI Engineer to lead the design and implementation of AI capabilities across the OCI Developer Platform. This is a hands-on technical leadership role for someone who can operate independently, think from first principles, and build scalable AI systems from scratch in a hyperscale cloud environment.
You will identify high-impact AI opportunities, architect platform-grade solutions, and drive them from prototype to production. This role requires strong ownership, architectural depth, and the ability to influence across engineering, product, and infrastructure teams.</div>
 <div><ul><li>Collaborate with key stakeholders to define and drive the AI strategy for the OCI Developer Platform.
</li><li>Identify high-leverage AI use cases that improve developer productivity, platform intelligence, automation, and operational efficiency.
</li><li>Architect and build scalable AI/ML systems that operate reliably in large-scale cloud environments.
</li><li>Design AI-driven developer experiences (code intelligence, automation agents, platform insights, intelligent diagnostics, etc.).Lead end-to-end development: data pipelines, model development, evaluation frameworks, deployment, and monitoring.
</li><li>Partner with product, security, and infrastructure teams to align AI initiatives with platform roadmap and compliance requirements.Prototype rapidly, validate impact, and productize with enterprise-grade reliability and security.
</li><li>Mentor engineers and influence technical direction.</li></ul></div>

Principal Software Engineer - AI/ML

Salesforce

<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.
<h2 class="jobSectionHeader">About the Team
</h2>Slack is looking for experienced engineers to join its Core Infrastructure organization to help design, develop, and maintain the information retrieval infrastructure that supports Slack Search and many other product experiences. This stack is at the heart of what makes Slack such a compelling store of company knowledge, allowing our customers to find and discover messages channels, people, files, and other business units within their workspaces. It is also of central importance to our efforts around generative AI, helping build products that are advised by the full wealth of knowledge in your company. We are seeking candidates who can continue to evolve our systems to be reliable, performant, scalable, and secure while helping push us to the cutting edge of search technology, incorporating the latest and greatest developments in the realm of information retrieval.
We build our infrastructure using reliable tools that our team knows and trusts, including Java, Go, PHP/Hack, Python, MySQL, Solr, Kubernetes, Terraform, AWS, and Linux. Expertise in these areas is a huge plus, but experience building and maintaining robust distributed systems for search, using other common languages and cloud technologies is a fine substitute. We&rsquo;re a collaborative team who genuinely enjoys working together. You&rsquo;ll be working closely with other infrastructure engineers and machine learning engineers to develop our infrastructure, and collaborating closely with product engineers and managers to make our infrastructure support the needs of our users.
 
Slack has a positive, diverse, and supportive culture&mdash;we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. 
 
<h2 class="jobSectionHeader">What you will be doing:
</h2><ul><li>Design and develop scalable, resilient offline indexing pipelines that process and transform data for Slack's search infrastructure
</li><li>Work with product engineering to conceptualize and build new features for our large (and growing!) user base.
</li><li>Collaborate with team members to ensure high availability and reliability of a distributed search system.
</li><li>You&rsquo;ll produce high-quality results by contributing heavily to team projects that have a significant impact on the business.
</li><li>You&rsquo;ll actively own team features or systems and define their long-term health, while also improving the health of surrounding systems.
</li><li>Deploy, configure, test, troubleshoot, maintain, upgrade Solr clusters and environments.
</li><li>Plan resources and continuously optimize the infrastructure and configuration of our Solr clusters to maintain cluster health and search performance.
</li><li>You'll assist our skilled support team and operations team in triaging and resolving production issues.
</li><li>You'll collaborate with other engineers and deeply review code.
</li><li>You&rsquo;ll improve engineering standards, tooling, and processes.
</li></ul>You may be a fit for this role if you:
<ul><li>3+ years of experience
</li><li>Have worked extensively with distributed data processing frameworks such as Spark, Hadoop, Map/Reduce, or EMR
</li><li>Have worked with Solr, ElasticSearch, Lucene, or other search technology.
</li><li>Have had exposure to infrastructure/ops tools and frameworks such as Terraform, Chef, and Kubernetes
</li><li>You hare proficient with functional or imperative programming languages &mdash; e.g., PHP, Python, Ruby, Go, C, or Java.
</li><li>Track record of developing high-availability, performant, and scalable systems accessing large volumes of data over multiple clusters across different geographical regions
</li><li>Have experience planning, implementing, and deploying software migrations and upgrades in a production environment
</li><li>You can contribute to technical architecture discussions and help drive technical decisions within your team.
</li><li>You write understandable, testable code with an eye towards maintainability.
</li><li>You are a strong communicator. Explaining complex technical concepts to designers, support, and other engineers is no problem for you.
</li><li>You possess computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.
</li><li>Bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience required.
</li></ul><h2 class="jobSectionHeader">Bonus Points:
</h2><ul><li>You&rsquo;ve built large-scale data pipelines professionally and can craft clean and beautiful code in Java, Scala, and/or SQL, and you possess exposure to Hadoop/Spark as well.
</li><li>Experience around text mining and parsing
</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 require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
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.&amp;#xa;&amp;#xa;The typical base salary range for this position is $117,200 - $223,900 annually. &amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Software Engineer, Search Data Infrastructure -Slack

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon is building a world-class advertising business that delivers self-service performance advertising products driving merchandise discovery and sales. Our advertising solutions are strategically critical to our retail and marketplace businesses' long-term growth. We serve billions of ad impressions and generate millions of clicks daily while continuously breaking new ground in product innovation. We are a highly motivated, collaborative, and fun-loving group with an entrepreneurial spirit and bias for action. With broad latitude to experiment and innovate, the team is experiencing unprecedented growth and continuously exploring new ideas and opportunities. 
 
Key job responsibilities 
We're seeking a Software Development Engineer to join our Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). SPB enables merchants, vendors, and brand owners to drive incremental sales through contextually relevant ads across Amazon properties (Amazon.com, Alexa, etc.) and third-party publishers. 
The CAX team specializes in developing sponsored conversational experiences powered by large language models (LLMs). We're pioneering multiple industry-first initiatives that, while complex and ambiguous, offer opportunities to create significant impact for our consumers, advertisers, and the business. 
 
As an engineer on our team, you will: 
 
<ul><li>Drive major product and engineering initiatives</li><li>Build large-scale, low-latency distributed systems</li><li>Develop ML infrastructure and LLM-based AI workflows</li><li>Partner with our science team to implement LLM models in production</li><li>Contribute to LLMOps</li><li>Design, build, and operate customer-facing functionality impacting hundreds of millions of shoppers worldwide</li></ul> 
About the team 
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</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, NY, New York - 184,900.00 - 250,200.00 USD annually 
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Software Development Engineer III, Sponsored Products and Brands

Catfish Corner Express

Job Overview We are seeking a talented and innovative AI Video Content Creator to join our dynamic marketing team. This role involves developing engaging video content optimized for various digital platforms, leveraging AI tools and creative techniques to enhance brand visibility and audience engagement. The ideal candidate will possess a strong background in content creation, videography, and digital marketing strategies, with an emphasis on SEO and social media management. This is an exciting opportunity for a creative professional passionate about blending technology with visual storytelling to drive impactful marketing campaigns.Duties<ul><li>Develop and produce high-quality video content tailored for social media, websites, and e-commerce platforms using AI-powered tools and editing software.</li><li>Implement SEO best practices, including keyword research and content optimization, to maximize video reach and engagement.</li><li>Manage content across various platforms using content management systems such as WordPress and other CMS tools.</li><li>Design compelling graphics and visual elements utilizing Adobe Creative Suite, including Photoshop and graphic design principles.</li><li>Write engaging copy, scripts, and descriptions that align with overall content strategy and marketing goals.</li><li>Collaborate with the marketing team to develop content strategies that support brand awareness, lead generation, and B2B marketing initiatives.</li><li>Conduct analytics using tools like Google Analytics to assess video performance metrics and refine future content strategies.</li><li>Manage social media marketing campaigns by scheduling posts, engaging with audiences, and tracking engagement metrics through social media management tools.</li><li>Stay updated on the latest trends in digital marketing, videography, content automation, and emerging AI technologies to continuously improve content quality.</li></ul>Qualifications<ul><li>Proven experience in video editing, videography, graphic design, and content creation for digital platforms.</li><li>Strong knowledge of SEO principles, keyword research, and content optimization techniques.</li><li>Excellent copywriting skills with the ability to craft compelling narratives for diverse audiences.</li><li>Experience managing social media accounts and executing social media marketing strategies effectively.</li><li>Knowledge of digital marketing channels including content strategy development, e-commerce integration, white papers creation, and B2B marketing tactics.</li><li>Ability to work independently as well as collaboratively within a team environment while managing multiple projects simultaneously.</li><li>Strong analytical skills to interpret data insights for continuous improvement of video campaigns. Join our team as an AI Video Content Creator to shape innovative visual stories that captivate audiences across digital landscapes while leveraging cutting-edge AI technologies to elevate your creative impact.</li></ul>Pay: $50.00 - $75.00 per weekPeople with a criminal record are encouraged to applyWork Location: Remote

AI video content creator

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