We are looking for AI Trainer (ML Engineering) candidates for a project delivered through the hiring partner.
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 you need
- 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.
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.
Expertise
Who you work with
Project and contracting process: the hiring partner. Applications continue on the provider's website.
Pay and hours
This role pays $60–$120/hr, for 15 h/week. The work is remote. That is about 80% above the $50 an hour median for AI & data roles open now.
Who can apply from where
The provider lists this role as open worldwide. With a profile, Tier1 checks your country and languages against this role and every other before you apply.