AI Trainer (ML Engineering)
CodingRemoteTask-basedPosted Nov 9
Paid per taskThis opportunity lists pay per task, rather than an hourly rate.
Schedule: Flexible
micro1 is looking for Machine Learning Engineers with prior professional AI-training or model-evaluation experience to support a project focused on improving advanced AI systems.
You will use your machine learning expertise to create challenging technical tasks, evaluate model-generated work, 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 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.
Strong applicants should provide evidence 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
