What if your coding knowledge — however you acquired it — could directly improve the AI tools that developers use every day? Your feedback will help train the next generation of AI coding assistants used by millions.
This is a fully remote, flexible contract role open to anyone who can read and understand code. No computer science degree or professional experience required.
Why Join Us
Work on cutting-edge AI projects alongside leading research labs.
Fully remote and flexible — work when and where it suits you.
Freelance autonomy with the structure of meaningful, task-based work.
Contribute to AI development that has a real impact on how software is written.
Potential for ongoing work and contract extension as new projects launch.
Responsibilities
Review AI-generated code in Python, JavaScript, or other languages for correctness, efficiency, and readability.
Identify bugs, logical errors, edge cases, and inefficiencies.
Rate code quality using structured evaluation rubrics.
Suggest clear, well-reasoned improvements.
Work across a variety of programming challenges and difficulty levels.
Complete assignments independently on your own schedule.
Required skills
Able to read and understand code in at least one programming language.
Analytical thinker with solid problem-solving instincts.
Clear written communicator who can explain technical concepts accessibly.
Detail-oriented and consistent in your evaluations.
Self-motivated and comfortable working independently.
Preferred skills
Familiarity with multiple programming languages.
Experience with code review, debugging, or software testing.
Background in competitive programming, open source contribution, or personal coding projects.
Prior exposure to AI tools or coding assistants as an end user.
Experience and education
No computer science degree or professional engineering experience required — hobbyists and self-taught developers are strongly encouraged to apply.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
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