Full Stack Engineering Specialist - Freelance AI Trainer Project

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$8-$65/hr From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

35% below the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Bootstrapped From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Full Stack Engineering Specialist - Freelance AI Trainer Project United States of America Are you an experienced Full Stack Engineer eager to shape the future of AI? Large-scale language models are evolving rapidly, moving beyond simple chatbots into powerful engines of research, learning, and applied problem-solving. With high-quality training data, tomorrow's AI can provide more accurate, practical, and innovative solutions across industries. That training data begins with you-your expertise will help power the next generation of AI. We're looking for a highly skilled Full Stack Engineering specialist who can bring technical depth, coding expertise, and architectural insight to training data. You'll work with cutting-edge AI tools, evaluate and refine code outputs, and provide expert feedback on correctness, efficiency, scalability, and best practices across the stack. On a typical day, you will review and annotate AI-generated code, assess outputs for logical and structural soundness, identify and document error patterns, and collaborate with our team to refine prompts, evaluation methods, and engineering guidelines. Proficiency in both frontend and backend technologies is required, including strong experience with languages such as JavaScript/TypeScript, Python, or Java; frameworks such as React, Node.js, or Django; and databases (SQL/NoSQL). Experience in cloud services, CI/CD pipelines, or containerization (Docker/Kubernetes) is a strong plus. Clear communication skills, problem-solving ability, and attention to detail are essential. Ready to channel your engineering expertise into building the AI tools of tomorrow? Apply today and help train the model that will support developers and organizations worldwide. We offer a pay range of $8 to

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