Remote ML Systems Engineer: Prompting & Evaluation

Data Annotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and to write the answers a strong practitioner would give, shaping how the next generation handles the field.

You will write prompts that probe training, evaluation, debugging, and product ionizing ML systems, review AI outputs for subtle errors, and craft correct solutions grounded in real-world practitioner experience. Remote, project-based work with strong earnings potential.

For the Remote ML Systems Engineer:
Prompting & Evaluation position at Data Annotation, we are reviewing applications now.

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

All applications are reviewed carefully by our team.

This is a Part Time role.

The position is based in Madison, SD, United States.

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