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.

This opportunity is for the Remote ML Systems Engineer:
Prompting & Evaluation role at Data Annotation.

We would love to welcome a new Remote ML Systems Engineer:
Prompting & Evaluation to our team in Madison, SD, United States.

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

Step into the Remote ML Systems Engineer:
Prompting & Evaluation role at Data Annotation in Madison, SD, United States and grow with us.