We're looking for Code Review Specialists to evaluate AI-generated code for correctness, efficiency, and readability — helping cutting-edge AI systems write better software.
What if your coding instincts could directly improve the AI tools that millions of developers rely on every day?
This is a fully remote, flexible contract role open to anyone who can read and reason about code. Whether you're a self-taught developer, a hobbyist coder, or a seasoned engineer, your perspective is valuable here.
Why Join Us
Work on real 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 tangible impact on how software is written and reviewed.
Potential for ongoing work and contract extension as new projects launch.
Responsibilities
Review AI-generated code in Python, JavaScript, or other languages for correctness and quality.
Identify bugs, logical errors, edge cases, and inefficiencies.
Rate code quality using structured evaluation rubrics.
Suggest clear, actionable improvements and explain your reasoning.
Work across a wide range of programming challenges and difficulty levels.
Complete assignments independently and asynchronously on your own schedule.
Required skills
Able to read and understand code in at least one programming language.
Analytical thinker with a good eye for logic and structure.
Clear written communicator — you can explain technical issues in plain language.
Detail-oriented and consistent in your evaluations.
Self-motivated and reliable when 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 technical writing.
Prior exposure to AI tools or developer workflows.
Experience and education
No computer science degree or professional software experience required.
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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