Open Source Contributor for Technical AI Training

You will create and assess difficult tasks based on real software, scientific, hardware, and engineering work. The tasks help measure whether AI systems can reason, write code, use technical tools, and complete longer projects.

You will combine hands-on programming with careful technical review. Your work must be reproducible, meaning another person should be able to run it and reach the same result.

• Create realistic technical tasks based on professional, scientific, or engineering workflows.
• Build reproducible environments, reference solutions, tests, and clear evaluation criteria.
• Review AI-generated work for correctness, completeness, reproducibility, and technical quality.
• Find model failures and explain why an approach or result is incorrect.
• Work across software engineering, machine learning, scientific computing, hardware, embedded systems, electronics, infrastructure, automation, and security.

This is flexible, fully remote contractor work. Compensation is output-based and paid for accepted tasks that meet the project specifications and quality requirements.

• $60 to $120 per hour equivalent, paid per task that meets the project specifications.
• Part-time work with a commitment of less than 20 hours per week.
• Professional fluency in English.
• Strong programming ability and practical proficiency in Python.
• Meaningful merged contributions to established open-source repositories or substantial original public projects.
• Demonstrable work involving implementation, debugging, testing, performance, infrastructure, simulation, or data processing.
• Expertise in at least one relevant software, science, hardware, or engineering field.
• Public evidence of technical work, such as maintainer responsibilities, technical tools, scientific software, research code, or substantial repositories.
• Careful judgment when assessing correctness, completeness, reproducibility, and quality.