Full-Stack Developer - AI Trainer (UK)

Anyone AI is recruiting skilled Full-Stack Developers (Python, Javascript/TypeScript) to work on a project with a leading AI Lab.

Qualifications:

Advanced professional written proficiency in English •

3–7 years of professional software engineering experience •

Strong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go •

Backend or full‑stack development experience in production systems •

Experience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing) •

Proven ability to debug and navigate large, multi‑file codebases •

Experience with code reviews, refactoring, and production migrations

Engagement: Part-time, project-based expert evaluation work

Work Type: Remote

Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation. Work includes both creating complex coding scenarios and reviewing peer submissions for quality and accuracy.

This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances).

Responsibilities:

Contributors will:

Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing •

Write clear natural-language specifications and reference implementations •

Develop and extend unit and integration test suites •

Review peer-generated tasks for correctness, clarity, and realism •

Identify edge cases, ambiguities, and potential failure modes •

Ensure alignment between specifications, code, and expected outputs

Expected Outcomes:

High-quality, production-realistic coding tasks •

Complete and correct reference implementations •

Robust test coverage and validation artifacts •

Structured, actionable peer review feedback

Compensation: $45 – $80 per hour

• • $45 – $80 per hour

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