ML Systems QA Engineer - Remote, Projects

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

You should have hands-on experience training, evaluating, or deploying models, be comfortable with Python and PyTorch or JAX, and communicate in clear English.

This is a strong opportunity to take on the ML Systems QA Engineer
- Remote, Flexible Projects role at Data Annotation.

Our team is growing, and we are hiring a ML Systems QA Engineer
- Remote, Flexible Projects in Sioux Falls, SD, United States.

This Full Time role is for the ML Systems QA Engineer
- Remote, Flexible Projects role at Data Annotation.

We are seeking a motivated ML Systems QA Engineer
- Remote, Flexible Projects to join Data Annotation in Sioux Falls, SD, United States.