Open Source Contributor

Overview

micro1 is seeking open-source contributors for an AI training project centered on complex, real-world technical workflows. The role is remote, global, and contractor-based, with flexible scheduling and a time commitment of 15+ hours per week. Compensation is output-based and paid per accepted task, with an equivalent range of $60–$120/hour depending on task complexity and quality.

What You’ll Work On

• Create realistic technical tasks based on professional, scientific, or engineering workflows.
• Build reproducible task environments, reference solutions, tests, and objective evaluation criteria.
• Review AI-generated work for correctness, completeness, and technical quality.
• Diagnose model failures and explain why an approach or result is incorrect.

Requirements

• Strong programming ability, including practical proficiency with Python.
• Meaningful contributions to open-source software or substantial original public projects.
• Experience in at least one relevant area such as software engineering, machine learning or data science, scientific computing, hardware or embedded systems, mechanical/aerospace/civil/chemical/electrical engineering, developer tools, infrastructure, automation, or security.
• Applicants should be able to provide publicly verifiable proof of skill, such as merged contributions to established repositories, maintainer or core-contributor responsibilities, substantial original repositories or technical tools, scientific or engineering software contributions, or public code supporting published research.
• Public work involving implementation, debugging, testing, performance, infrastructure, simulation, or data processing is relevant; forks, tutorial-only repositories, superficial documentation edits, contribution counts, or AI-generated repositories alone are not sufficient.

Preferred Qualifications

• Experience designing technical tests, benchmarks, evaluation tasks, or reproducible environments.
• Experience reviewing code or technical contributions from others.
• Competition results, publications, public technical writing, or other evidence of expertise.
• Previous experience contributing to complex projects over an extended period.

Application Process

1. Submit your application and public technical profiles.
2. Complete an AI interview that includes technical and integrity checks.
3. Complete a hiring-manager review.
4. If selected, complete project onboarding and begin your first assigned task.