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Pay: $60–$120/hour equivalent, paid per accepted task
Time Commitment: 15+ hours per week
Schedule: Flexible
Our team is looking for Software Engineers with prior professional AI-training or model-evaluation experience to support a project focused on improving advanced AI systems.
You will use your software engineering expertise to create challenging technical tasks, evaluate model-generated code, identify failures, and establish objective standards for correct solutions. This role is intended for candidates who have already completed substantive AI-training work.
What You’ll Work On
• Create realistic software engineering tasks that challenge advanced AI models.
• Develop task instructions, reproducible environments, reference solutions, tests, and evaluation criteria.
• Evaluate model-generated code and technical deliverables for correctness, robustness, and completeness.
• Identify issues involving implementation, debugging, dependencies, performance, testing, or reproducibility. Required Qualifications
• Prior paid experience training, evaluating, benchmarking, or improving AI systems.
• Strong practical proficiency with Python.
• Professional experience with at least one additional programming language, such as Java, JavaScript, TypeScript, Rust, C++, C#, or Go.
• Strong knowledge of software design, debugging, testing, version control, and dependency management. Public Proof of Skill
Strong applicants should provide evidence such as:
• Substantial GitHub or GitLab repositories
• Meaningful open-source contributions
• Maintainer or core-contributor responsibilities
• Codeforces, ICPC, Olympiad, or other programming-competition results
• Public developer tools, libraries, systems, or technical projects
• Technical publications, benchmarks, or engineering write-ups
• Experience creating AI-training tasks, reference solutions, tests, graders, or benchmark problems.
• Experience reviewing other AI trainers’ technical submissions.
• Codeforces rating of approximately 1900 or higher, or strong results in another programming competition.
• Experience with Linux, Docker, CI/CD, command-line tools, or sandboxed environments.
• Prior experience with long-horizon or agentic coding evaluations.
• Availability to begin immediately. Application Process
• Submit your application, AI-training experience, and public technical evidence.
• Complete an AI interview containing technical and integrity checks.
• Complete a hiring-manager review.
• If selected, complete project onboarding and begin your first assigned task.
• Compensation is output-based. Experts are paid for tasks that meet project specifications and quality requirements. Task availability and completion time may vary.