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🌎 AI Trainer (SWE), Remote- Contract

Xperteez Technology · Worldwide · Contract · Remote

Role Title: AI Trainer (SWE)
Location: Global, fully remote
Job Type: Contract
Time Commitment: 15+ hours per week
Schedule: Flexible
Required Skills:

• Software Engineering

• AI training

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

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