Freelance Python Developers

Job DescriptionImportant: Make sure to review the job description and rate details carefully. The final rate will be determined based on your years of experience. The maximum hourly rate applies to candidates with 5+ years of experience; those with 1–3 years of experience will be offered a lower rate. Compensation Hourly rates vary by country:

• USA: $30-$37 USD / hr
• UK, Ireland: $26-$34 USD / hr
• Canada, Australia, New Zealand: $25-$36 USD / hr
• Liechtenstein, Luxembourg, Monaco, Sweden, Norway: $25-$32 USD /hr
• Portugal, Romania, San Marino, Slovakia, Slovenia, Spain: $17-23 USD /hr
• Brunei, Japan, Singapore, Korea, South Korea: $18-26 USD
• Tajikistan, Thailand, Timor-Leste, Turkeministan, Vietnam: $8-$14
• Bahrain, Kuwait, Oman, Qatar, Saudi Arabia: $23-$30
• Egypt, Iraq, Jordan, Lebanon, Yemen: $7-$10 USD
• Morroco, South Africa: $10-$15 USD
• Tanzania, Togo, Tunisia, Uganda, Zimbawe, Zambia: $7-11USD
• Oceania, Latin America, Honduras, Jamaica, Nicaragua, Paraguay, Peru, Suriname: $9-17 USD

Description At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About The RoleAbout the Role We’re looking for an experienced Python developer who enjoys building tools, environments, and infrastructure for working with LLM-based agents. You’ll help create sandboxes, task systems, and CI/CD pipelines to support testing and development of AI agents. You’ll also work closely with researchers and domain experts, helping them set up and use these tools effectively - so good communication and collaboration are important Profile Experienced Python developer with a strong engineering mindset and a passion for AI systems. Specializes in building infrastructure, tools, and development environments for LLM-based agents and evaluation frameworks. Comfortable working across code, containers, and automation pipelines. Capable of supporting AI researchers and expert users with robust sandboxes, task environments, and CI/CD pipelines. Quick to learn new tools like Cursor or Claude Code, and motivated by building practical and reusable systems. Core Qualifications

• 5+ years of experience writing Python code
• Degree in Computer Science, Engineering, or similar field (or equivalent experience)
• Good understanding of testing: unit, integration, functional (using pytest)
• Confident working in Linux (bash, grep, sed, curl, useradd, etc.)
• Able to write and debug Dockerfiles
• Experience with CI/CD (ideally GitHub Actions)
• Familiar with web backends like FastAPI or Flask
• Can set up local dev environments (devcontainers, .env, Makefiles)

Nice to Have

• Experience with other languages (C, C++, Rust, Go, JS, TS, etc)
• Used AI code agents like Cursor, Claude Code, or RooCode
• Familiar with Model Context Protocol (MCP) servers
• Experience building LLM evaluation tools or scoring systems
• Understanding how agent systems are structured and measured

What You’ll Be Working On

• Sandboxes for running and testing AI agents safely
• Tools for writing tasks and test cases for agents
• CI/CD pipelines to run checks and evaluate agents
• Dev environments for experts creating these tasks
• Repo templates and scripts to help new contributors
• Interfaces for tracking task input and agent results

Example Tasks

• Set up GitHub repos for agent tasks
• Write CLI tools or small GUIs for expert workflows
• Build pipelines to run and score agent outputs
• Make it easier for others to debug and reproduce agent behavior

Who You Are

• Interested in AI and how tools can help people build better systems
• Enjoy solving infrastructure and automation problems
• Like writing code that others use and rely on
• Open to learning new tools like Cursor or Claude Code

BenefitsWhy this freelance opportunity might be a great fit for you?

• Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
• Work on advanced AI projects and gain valuable experience that enhances your portfolio.
• Influence how future AI models understand and communicate in your field of expertise.