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Full-Stack Developer - AI Trainer; Czechia)

Job in Washington, District of Columbia, 20022, USA
Listing for: Anyone AI Inc.
Full Time, Part Time position
Listed on 2026-09-27
Job specializations:
  • Software Development
    Software Testing, Backend Developer, Full Stack Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 83000 - 165000 USD Yearly USD 83000.00 165000.00 YEAR
Job Description & How to Apply Below
Position: Full-Stack Developer - AI Trainer (Czechia)

Anyone AI is recruiting skilled Full‑Stack Developers 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/Type Script; 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

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