ML Systems QA Engineer - Remote, Projects
-
IT/Tech
Job Description & How to Apply Below
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.
The ML Systems QA Engineer
- Remote, Flexible Projects position in the IT & Technology field is open for applications.
Take a moment to read everything above and see whether this role is right for you.
This posting is for the ML Systems QA Engineer
- Remote, Flexible Projects role at Data Annotation, based in Sioux Falls, SD, United States.
We are looking to fill the ML Systems QA Engineer
- Remote, Flexible Projects position at Data Annotation in Sioux Falls, SD, United States.
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