Remote Backend Engineer – Part-Time AI Task Platform

Openkrill

United States

Remote

USD 83,000 - 165,000

Part time

14 days+
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Job summary

Anyone AI is recruiting skilled Backend Developers to work on a project with a leading AI lab. This remote, part-time, project-based consultant role offers per-project payments and flexible scheduling.

Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring, and test generation, while reviewing peer submissions for quality and accuracy.

Qualifications

  • Advanced professional written English proficiency.
  • 3–7 years of professional software engineering experience.
  • Strong Python and JavaScript/TypeScript skills; knowledge of Java, C#, or Go.
  • Backend or full-stack production systems experience.
  • Experience with testing frameworks (pytest, Jest, JUnit, xUnit, Go testing).
  • 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
Software engineering experience
Python
JavaScript/TypeScript
Java/C#/Go
Backend development
Testing frameworks
Debug multi-file codebases
Code reviews & refactoring

Job description

Anyone AI is recruiting skilled Backend Developers to work on a project with a leading AI lab. This remote, part-time, project-based consultant role offers per-project payments and flexible scheduling.

Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring, and test generation, while reviewing peer submissions for quality and accuracy.

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