Remote ML Systems Engineer - Prompting and Evaluation

Data Annotation is hiring a Machine Learning Engineer to stress-test model reasoning about ML systems, evaluation design, data pipelines, and deployment trade-offs. You’ll write prompts and review AI outputs, then craft correct solutions grounded in real practitioner experience.

You should have hands-on experience training, evaluating, or deploying models, be comfortable with Python and libraries like PyTorch or JAX, and communicate clearly in written English. No degree is required.

This posting is for the Remote ML Systems Engineer
- Prompting and Evaluation role at Data Annotation, based in Arden Hills, MN, United States.

The Remote ML Systems Engineer
- Prompting and Evaluation position in the IT & Technology field is open for applications.

We have an opening for a Remote ML Systems Engineer
- Prompting and Evaluation in Arden Hills, MN, United States within IT & Technology.