Senior Python Developer - Code Migration Specialist
Mindrift offers a fully remote, freelance engagement for experienced software specialists seeking project-based work in AI system testing. Collaborating via the Mindrift platform, you’ll drive the creation of functional black box tests and manage Docker environments for reproducible builds. Leverage large language models (LLMs) such as Roo Code and Claude Code to accelerate development, with flexible participation (20–30 hours/week) and compensation up to $45/hour. Join a global community and contribute to innovative AI initiatives for leading tech companies.
This opportunity requires 5+ years of Python engineering experience, deep expertise with pytest, Docker, and Linux/Bash scripting, and strong proficiency in modern Python tooling (uv, pyproject.toml, packaging). Ability to read code in C, C++, Rust, or Go with LLM support is essential, along with proven use of LLMs for development acceleration. English proficiency (B2 or above) and experience with agent evaluation platforms and MCP CLI are also required.
Please note: participants are freelance contributors (not permanent employees), and compensation rates are project-specific. To apply, submit your CV in English and specify your level of English proficiency.
Please submit your CV in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
About the Role
This project is suited for a Senior Python developer with deep functional testing experience, strong Linux and Docker skills, the ability to read code across multiple languages with the support of LLMs (e.g., C, Rust, Go) and translate requirements for migration tasks, and confidence using tools like Roo Code or Claude Code to accelerate iterative development.
Key Responsibilities
- Create functional black box tests for large codebases in various source languages
- Create and manage Docker environments to ensure 100% reproducible builds and test execution across different platforms
- Monitor code coverage and configure automated scoring criteria to meet industry benchmark-level standards
- Leverage LLMs (Roo Code, Claude) to accelerate development cycles, automate repetitive tasks, and improve overall code quality
- 5+ years of experience as a Software Engineer (primarily Python)
- Deep experience with pytest (fixtures, session-scoped, timeouts) and designing black-box functional tests for CLI tools
- Expert-level Docker skills (reproducible Dockerfiles, user contexts, secure workspaces)
- Strong Linux & Bash scripting skills and comfort debugging inside containers
- Proficiency with modern Python tooling (uv, pyproject.toml, packaging)
- Ability to read and understand with LLM many coding languages (for example C, C++, Rust, or Go)
- Experience using LLMs (Claude Code, Roo Code, Cursor) to accelerate iterative development and test-case generation
- English language - B2 or higher
Requirements +
- Prior experience with agent evaluation platforms and MCP CLI
Tools and Technologies: Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, C/C++/Rust/Go (reading), Dagger, GitHub Codespaces, LLMs (Claude Code, Roo Code, Cursor), coverage.py, gcov, kcov.
What we can offer
- Freelance project-based collaboration via the Mindrift platform (powered by Toloka AI)
- Fully remote and flexible participation — choose when and how much to contribute (20-30 hours per week)
- Each project has its own compensation level based on scope and expertise required. On this project, AI trainers earn up to $45 per hour equivalent.
- Opportunity to contribute to innovative AI projects for leading tech companies
- Supportive global community
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