We're looking for Software Testing Analysts to put AI-generated code through its paces — running programs, hunting down bugs, and helping ensure that the software AI produces actually works the way it should.
What if your coding instincts could directly influence how AI writes software for millions of people?
This is a fully remote, flexible contract role open to anyone who can read and run basic code. No formal QA certification or software engineering degree required — just a logical mind, an eye for detail, and the ability to think like someone trying to break things.
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 directly to improving how AI writes and reasons about software.
Potential for ongoing work and contract extension as new projects launch.
Responsibilities
Run AI-generated code and evaluate whether it produces correct, expected outputs.
Hunt for bugs, edge cases, and unexpected or broken behavior.
Assess code readability, structure, and overall quality.
Suggest concrete improvements to make AI-generated solutions cleaner and more reliable.
Document test results clearly using structured formats and evaluation rubrics.
Work across a variety of programming languages and problem types.
Complete task-based assignments independently on your own schedule.
Required skills
Comfortable reading and running basic programs in at least one programming language.
Logical and methodical — you naturally think about what could go wrong.
Detail-oriented with a consistent, thorough approach to testing.
Clear and concise written communicator.
Self-motivated and reliable when working independently.
Preferred skills
Familiarity with multiple programming languages (Python, JavaScript, etc.).
Experience with code editors, IDEs, or online coding environments.
Background in computer science, software development, or technical writing.
Exposure to debugging tools or testing frameworks.
General interest in how AI models generate and reason about code.
Experience and education
No formal QA, software engineering, or AI 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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