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🌎 AI Trainer (SWE), Remote- Contract
Xperteez Technology
Source: Himalayas · original listing ↗
Posted today
About this role
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 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