What you would do
- Design evaluations and benchmarks.
- Write rubrics that turn judgment into clear criteria.
- Review training data and model pipelines for errors.
Who we look for
- Hands-on ML or data science experience.
- A degree in ML, AI, data science or a related field, or equivalent work.