Open Source Contributor - Remote

OPEN SOURCE CONTRIBUTOR - REMOTE

Location: Global, Fully Remote
Employment Type: Contractor
Time Commitment: 15+ hours per week
Schedule: Flexible
Compensation: $60–$120/hour equivalent, paid per accepted task

ABOUT THE ROLE

We are seeking experienced open-source contributors to support an AI training project focused on complex, real-world technical workflows.

You will use your programming and domain expertise to create, solve, review, and validate challenging tasks across software engineering, machine learning, science, hardware, and engineering. Your contributions will help improve how advanced AI systems reason, write code, use technical tools, and execute complex projects.

Prior AI training experience is not required. Strong, publicly verifiable technical contributions are essential.

KEY RESPONSIBILITIES

• 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 technical errors or incorrect approaches.

REQUIRED QUALIFICATIONS

• Strong programming ability, particularly in Python.

• Meaningful contributions to open-source software or substantial original public projects.

• Experience in at least one relevant area:

  • Software engineering

  • Machine learning or data science

  • Scientific computing

  • Hardware, embedded systems, or electronics

  • Mechanical, aerospace, civil, chemical, or electrical engineering

  • Developer tools, infrastructure, automation, or security

PUBLIC PROOF OF SKILL

Applicants must provide publicly verifiable evidence of their technical expertise, such as:

• Meaningful merged contributions to established repositories.

• Maintainer or core-contributor responsibilities.

• Substantial original repositories or technical tools.

• Scientific or engineering software contributions.

• Public code supporting published research.

• Contributions involving implementation, debugging, testing, performance, infrastructure, simulation, or data processing.

Forks, tutorial-only repositories, superficial documentation edits, contribution counts, and AI-generated repositories alone are insufficient.

PREFERRED QUALIFICATIONS

• Experience designing technical tests, benchmarks, evaluation tasks, or reproducible environments.

• Experience reviewing code or technical contributions.

• Competition results, publications, or public technical writing.

• Experience contributing to complex projects over an extended period.

CORE TECHNICAL SKILLS

Python 3, Java, Rust, C++ fundamentals, TypeScript, and Go.

APPLICATION PROCESS

1. Submit your application and public technical profiles.

2. Complete an AI interview covering technical and integrity checks.

3. Undergo a hiring-manager review.

4. Complete project onboarding if selected.

COMPENSATION AND WORK ARRANGEMENT

Compensation is output-based, with an estimated equivalent of $60–$120 per hour. Payment is made for tasks that meet project specifications and quality requirements. Actual earnings depend on task complexity, time required, and accepted deliverables.

This is a global, fully remote contractor opportunity with a flexible schedule and a minimum commitment of 15 hours per week.