AI Trainer (SWE)

Job Type: Contractor

Time Commitment: 15+ hours per week

Schedule: Flexible

micro1 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

Preferred Qualifications

• 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

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

Compensation

• Compensation is output-based. Experts are paid for tasks that meet project specifications and quality requirements. Task availability and completion time may vary.