ML Systems Auditor & Prompt Engineer; Remote

Data Annotation is where 1M+ experts train the world’s leading AI models. As a Machine Learning Engineer you’ll stress-test how models reason about ML systems and write the answers a strong practitioner would give, shaping how the next generation handles your field.

You’ll write prompts that probe training, evaluation, debugging, and product ionizing ML systems, review AI output for subtle errors, and write the correct solution grounded in real practitioner experience.

The following role is for a ML Systems Auditor & Prompt Engineer (Remote) with Data Annotation.

Please review the full job details above before applying.

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

All applications are reviewed carefully by our team.

The position is based in Columbia, SC, United States.

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