Senior Python Engineer - AI Testing Project (Freelance, Mindrift)

Mindrift; Dallas (TX); On-site; USD 110,208; Part time

Benefits offered by this job

Fully remote participation

Task-based compensation

Opportunity to work on AI projects

Supportive community

Job summary

A leading tech platform is seeking a Senior Python Developer specialized in functional testing and Docker. This freelance role allows for remote, flexible participation (20-30 hours per week) on innovative AI projects, offering competitive task-based compensation of up to $80/hour depending on performance. Candidates must possess strong Linux skills and expertise in various programming languages. Join a supportive global community to enhance your career and contribute to groundbreaking tech projects.

Qualifications

• 5+ years of experience as a Software Engineer (primarily Python).
• Deep experience with pytest and designing black-box functional tests.
• Expert-level Docker skills for reproducible builds.

Responsibilities

• Create functional black box tests for large codebases.
• Manage Docker environments for test execution.
• Monitor code coverage and configure scoring criteria.

Skills

Python

Docker

Linux

Bash scripting

pytest

LLM tools (Claude Code, Roo Code)

Tools

GitHub Codespaces

Dagger

coverage.py

Job description

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

Requirements

• 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

Additional 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.

Benefits

• 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)
• Task‑based compensation, equivalent to up to $80/hour* depending on performance and volume
• Opportunity to contribute to innovative AI projects for leading tech companies
• Supportive global community
• 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