AI Trainer (Machine Learning Engineering)

Quick Facts

• Fully remote contractor role
• Time commitment: 15+ hours per week (flexible schedule)

Description

You will support an AI training effort by creating, solving, reviewing, and validating challenging technical tasks that reflect real-world professional workflows. Your work improves how advanced AI systems reason, write code, use technical tools, and complete long-term engineering projects. Prior AI training experience is not required—strong programming and publicly verifiable technical contributions are the focus.

Responsibilities

• Create realistic technical tasks based on professional, scientific, and engineering workflows
• Build reproducible task environments, reference solutions, tests, and objective evaluation criteria
• Review AI-generated outputs for correctness, completeness, and technical quality
• Diagnose AI model failures and explain technical errors, limitations, and incorrect approaches
• Develop and validate challenging tasks that assess practical problem-solving
• Apply domain expertise to evaluate technical solutions across relevant fields

Requirements

• Strong programming skills, including practical proficiency in Python
• Meaningful contributions to open-source software or substantial original public projects
• Demonstrated expertise in at least one area: Software Engineering; Machine Learning and Data Science; Scientific Computing; Hardware/Embedded Systems/Electronics; or Mechanical/Aerospace/Civil/Chemical/Electrical Engineering; or Developer Tools/Infrastructure/Automation/Security
• Publicly verifiable evidence of technical work, such as merged contributions, maintainer/core-contributor responsibilities, substantial original repositories/tools, contributions to scientific/engineering software, or public code supporting published research
• Work should include implementation, debugging, testing, performance optimization, infrastructure, simulation, or data processing
• Forks, tutorial-only repositories, superficial documentation edits, contribution counts only, or AI-generated repositories alone are not sufficient

Benefits

• Flexible schedule and remote work; 15+ hours per week commitment
• Opportunity to impact advanced AI training on complex, real-world technical workflows
• Contractor onboarding and assignment of initial tasks after interview and hiring manager review