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Full-Stack Developer - AI Trainer (Remote in Argentina)

Anyone AIArgentina - Fully RemoteNew
Remote Contract

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Experience Level

Experience

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.

About the job

Anyone AI is actively seeking talented software engineers proficient in Python and/or JavaScript/TypeScript to collaborate on an innovative project with a premier AI Lab. This opportunity allows you to leverage your skills in a fully remote environment while contributing to cutting-edge AI initiatives.

Qualifications:

  • Exceptional written English communication skills

  • 3 to 7 years of professional experience in software engineering

  • Advanced knowledge of Python and JavaScript/TypeScript; familiarity with Java, C#, or Go is a plus

  • Experience in backend or full-stack development within production systems

  • Proficient in using testing frameworks such as pytest, Jest, JUnit, xUnit, or Go testing

  • Strong debugging skills for navigating complex, multi-file codebases

  • Experience with code reviews, refactoring, and production migrations

Engagement: This is a part-time, project-based consultancy role.

Work Type: Fully Remote

As a contributor, you will be responsible for designing and evaluating realistic software engineering tasks that include debugging, feature implementation, refactoring, and test generation. Your work will involve creating complex coding scenarios and reviewing peer submissions for accuracy and quality.

Responsibilities:

As a contributor, you will:

  • Design and implement multi-file coding tasks for bug fixes, feature development, refactoring, and testing

  • Create clear natural-language specifications and reference implementations

  • Develop and enhance unit and integration test suites

  • Review tasks generated by peers for correctness, clarity, and realism

  • Identify edge cases, ambiguities, and potential failure modes

  • Ensure consistency between specifications, code, and expected outputs

Expected Outcomes:

  • Contribute to a high-quality coding environment through rigorous testing and validation

About Anyone AI

Anyone AI is at the forefront of AI innovation, seeking to harness the potential of artificial intelligence to create transformative solutions. Join us in revolutionizing the tech landscape.

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