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Freelance Senior Python Developer - Functional Test Frameworks

Summary

Build and run pytest-based functional test frameworks for AI-native CLI projects, using Python 3.10, Docker, and CI pipelines to validate AI responses and migration stubs.

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.

What This Opportunity Involves

While each project involves unique tasks, contributors may:

Coordinate cross-language migration workflows by analyzing C/Rust/Go codebases to create behavioral tests and migration stubs for Rust targets. Design and implement black-box functional test frameworks (pytest + uv, Python 3.10) for native CLI projects. Built reproducible Docker evaluation images and CI pipelines for agent evaluation (Dagger/Codespaces), handling secure workspace setup and git submodule integration. Apply professional judgment to assess AI responses

What We Look For

This opportunity is a good fit for senior software developers open to part-time, non-permanent projects. Ideally, contributors will have:

Degree in Computer Science, Software Engineering or related fields 5+ years in software development with at least 5 years in Python Familiarity with C, Rust, Go / confidence to read this code with LLM English proficiency - B2 Stable internet connection

How It Works

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Payment

Paid contributions, with rates up to $40/hour* Fixed project rate or individual rates, depending on the project Some projects include incentive payments Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project

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