ML Engineer work for AI training

Design the evaluations and rubrics that show where models go wrong. Build evals, write rubrics, and review training data and model pipelines.

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.

Next step

Ready to apply?

Pick ML Engineer as your field. You can add other fields you know well on the same form.

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