🌎 AI Trainer (SWE), Remote- Contract at Xperteez Technology

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
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