A
Remoto LinkedIn

Python Developer - Remote in Brazil

Anyone AI São Paulo 25 candidaturas 4 dias atrás

Salário estimado

R$ 9k - 13k/mês

Pleno CLT
63%

Score de curadoria

Indicador interno 0 a 100: transparência salarial, stack, descrição útil e sinais de qualidade do anúncio. Não é match com o seu CV.

Descrição da vaga

Texto agregado para leitura rápida. Confira sempre a fonte original ao enviar a candidatura.

Anyone AI is recruiting skilled Python 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/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

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