AI Trainer (SWE)

micro1

Remote, Sweden

Posted

Pay: $60–$120/hour equivalent, paid per accepted task

Location: Global, fully remote

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

- 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

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

Originally posted on Himalayas

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