M
AI Trainer (ML Engineering)
micro1
Contract type
Freelance
Work mode
Remote · Worldwide
Experience
3 years
Job description
Machine Learning Engineers with prior professional AI-training or model-evaluation experience support a project focused on improving advanced AI systems by creating technical tasks and evaluating model-generated work.
At a glance
- Employment
- Contract · Independent contractor
- Work mode
- Remote · Worldwide
- Pay
- USD 60 – 120 / hour
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 such as GitHub repositories or public model implementations, Kaggle/DrivenData/AIcrowd or similar competition results, Hugging Face models or datasets, research publications or technical reports, open-source ML contributions, or 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.