Python Developer | $25/task

Codefeast; Brasil; Remoto; BRL 156.000 - 223.000; Tempo integral

Resumo da vaga

Codefeast is seeking experienced Python Software Engineers to support a short-term AI evaluation project involving public GitHub repositories, code review, and AI-generated code evaluation. You will analyze issues, configure local repos, dockerize environments, review tests, and modify code to assess LLM performance on bug-fixing tasks.

Remote role with immediate start and task-based compensation. This role requires strong hands-on Python skills and comfort with Git, Docker, and working across

Qualificações

• 2+ years of professional software engineering experience.
• Strong hands-on Python experience.
• Proficiency with Git, Docker, and basic pipeline setup.
• Ability to navigate and modify real-world Python codebases.
• Experience running tests and debugging locally.

Responsabilidades

• Analyze and triage GitHub issues across open-source repositories.
• Set up and configure code repositories locally.
• Handle Dockerization and development environment setup.
• Review and evaluate unit test coverage and test quality.
• Modify and run codebases to assess LLM performance in bug-fixing scenarios.

Conhecimentos

Python

Code review

Git

Docker

Testing

Ferramentas

Git

Docker

CI/CD

Descrição da vaga

Reviewer and Rate AI-Generated Code – Python Experience: 2+ Years Job Type: Short-Term Contract Location: Remote Start Date: Immediate Compensation: $25 per approved task Domain: Python | Code Review | Open Source | AI Evaluation | GitHub

Role Overview We are looking for experienced Python Software Engineers / Code Reviewers to support a short-term AI evaluation project involving public GitHub repositories, codebase review, test-quality assessment, and AI-generated code evaluation. The role requires strong hands‑on software engineering skills and the ability to navigate, modify, run, and assess real-world Python codebases.

Key Responsibilities

• Analyze and triage GitHub issues across open-source repositories.
• Set up and configure code repositories locally.
• Handle Dockerization and development environment setup .
• Review and evaluate unit test coverage and test quality .
• Modify and run codebases to assess LLM performance in bug-fixing scenarios .

Key Requirements

• 2+ years of professional software engineering experience .
• Strong hands‑on experience with Python .
• Proficiency with Git, Docker, and basic software pipeline setup .
• Ability to understand and navigate complex codebases .
• Comfortable running, modifying, debugging, and testing real-world software projects locally .

Selection Process

• Interest Check Form (ICF)
• Technical Assessment
• Assessment / Delivery Review
• Final Approval & Onboarding