XT
🌎 AI Trainer (ML Engineering), Remote- Contract
Xperteez Technology
Contract type
One-time
Work mode
Remote · Worldwide
Experience
3 years
Job description
Contract, fully remote AI Trainer role for ML engineering experts, creating and evaluating challenging machine learning engineering tasks for advanced AI models. Intended for candidates who have already completed substantive AI-training work.
At a glance
- Employment
- Contract
- Work mode
- Remote · Worldwide
What you'll do
- Create realistic machine learning engineering tasks that challenge advanced AI models
- Develop task instructions, reproducible environments, reference solutions, and evaluation criteria
- Evaluate model-generated code, experiments, analyses, and technical deliverables
- Identify issues involving data leakage, incorrect validation, unstable training, performance, or reproducibility
What we're looking for
- Prior paid experience training, evaluating, benchmarking, or improving AI systems
- Strong practical proficiency with Python
- Hands-on experience using PyTorch, JAX, TensorFlow, scikit-learn, XGBoost, LightGBM, or comparable ML tools
- Public proof of skill (e.g. GitHub repositories or public model implementations, competition results, Hugging Face models or datasets, research publications or technical reports, open-source ML contributions, public benchmarks, experiments, or technical projects)
Nice to have
- Experience creating AI-training tasks, reference answers, rubrics, graders, or benchmark problems
- Experience reviewing other AI trainers' technical submissions
- Kaggle Expert, Master, or Grandmaster status, or strong results in another technical competition
- Publications or open-source contributions in machine learning
- Prior experience with long-horizon or agentic AI evaluations
- Availability to begin immediately
How to get hired
- 1Submit your application, AI-training experience, and public technical evidence
- 2Complete an AI interview containing technical and integrity checks
- 3Complete a hiring-manager review
- 4If selected, complete project onboarding and begin your first assigned task