Remote Part-Time Full-Stack Developer for AI Test Design

Anyone AI

Greater London

On-site

GBP 82,656 - 137,760

Part time

14 days+

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Job summary

Anyone AI in the United Kingdom is seeking skilled Full-Stack Developers to contribute to a project with a leading AI Lab. The role is remote, part-time and project-based, with consultants designing and evaluating realistic coding tasks, including bug fixes, feature implementation, refactoring, and test generation.

Contributors will examine peer submissions, write specs and reference implementations, and build robust test suites.

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

Responsibilities

  • 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

Skills

English proficiency
3-7 years exp
Python
JavaScript/TypeScript
Java/C#/Go
Full-stack dev
Testing frameworks
Debug multi-file
Code reviews

Job description

Anyone AI in the United Kingdom is seeking skilled Full-Stack Developers to contribute to a project with a leading AI Lab. The role is remote, part-time and project-based, with consultants designing and evaluating realistic coding tasks, including bug fixes, feature implementation, refactoring, and test generation.

Contributors will examine peer submissions, write specs and reference implementations, and build robust test suites.

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