Remote ML Systems Engineer — Prompting & Debugging

Data Annotation is seeking a Machine Learning Engineer to stress-test how models reason about training dynamics, evaluation design, data pipelines, and deployment trade-offs. You’ll write prompts, review AI output for subtle errors, and craft correct solutions grounded in real practitioner experience.

This remote, contract-friendly role values hands-on ML work;
Python and PyTorch or JAX are assumed. Compensation ranges up to 150+ USD per hour, with many contributors earning 100k–200k+ annually

We have an opening for a Remote ML Systems Engineer — Prompting & Debugging in Cincinnati, OH, United States within IT & Technology.

If your experience matches this role, we encourage you to apply.

All applications are reviewed carefully by our team.

This is a Full Time role.

The position is based in Cincinnati, OH, United States.

This opportunity is part of our work in IT & Technology.