AI Trainer (SWE)

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.
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