Role & seniority
- Software Testing Analyst (AI Training) — entry-level / no formal QA or engineering background required
Stack/tools
- Programming languages (at least 1); unknown languages depending on tasks
- Code editors/IDE: VS Code, Replit, or similar
- Uses structured formats to document test results (specific tooling not stated)
Top 3 responsibilities
- Run and evaluate AI-generated code for correctness vs. intended behavior
- Find bugs: edge cases, logical errors, and unexpected behavior
- Stress-test programs with adversarial inputs; provide clear, actionable feedback and documentation
Must-have skills
- Ability to read and run code in at least one language
- Logical, methodical, detail-oriented problem-solving
- Competence using an online IDE/code editor
- Clear written communication for structured test documentation
- Self-directed and reliable for independent work
Nice-to-haves
- Familiarity with multiple programming languages
- Experience with debugging tools, unit testing, or test case design
- Background in computer science/software development or technical problem-solving
- Prior exposure to AI-generated code or developer tooling
Location & work type
- Remote, fully remote and flexible contract
- Hourly contract, 10–40 hours/week

Full Description

Software Testing Analyst (AI Training)

About The Role

What if your coding instincts could directly influence how AI writes software for millions of developers and businesses around the world? We're looking for Software Testing Analysts to put AI-generated code through its paces — running programs, hunting down bugs, and delivering the kind of sharp feedback that makes AI smarter and more reliable.

This is a fully remote, flexible contract role open to anyone who can read and run code. You don't need a formal background in QA or software engineering — just a logical mind, an eye for detail, and the ability to think like someone determined to break things.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week

What You'll Do

Run AI-generated code and evaluate whether it behaves correctly and as intended Hunt for bugs, edge cases, logical errors, and unexpected behavior Stress-test programs with inputs designed to expose weaknesses Assess code readability, structure, and maintainability Document test results clearly using structured evaluation formats Provide actionable feedback that helps AI systems write better software Work across a variety of programming languages and problem types

Who You Are

Comfortable reading and running simple programs in at least one programming language Logical thinker with a methodical, detail-oriented approach Confident using a code editor or online IDE (e.g., VS Code, Replit, or similar) Clear and precise written communicator Self-motivated and reliable when working independently No formal QA, software engineering, or AI experience required

Nice to Have

Familiarity with multiple programming languages Experience with debugging tools, unit testing, or test case design Background in computer science, software development, or technical problem-solving Prior exposure to AI-generated code or developer tooling

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 AI development that shapes the future of software engineering Potential for ongoing work and contract extension as new projects launch