Remote ML Systems QA & Evaluation Engineer
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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. The role focuses on crafting prompts that reveal reasoning gaps and validating model outputs against real-world expectations.
You’ll review outputs, identify subtle errors, and write correct, principled solutions grounded in practical experience.
Join us at Data Annotation as our next Remote ML Systems QA & Evaluation Engineer in OK, United States.
The advertised compensation is 124..
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the Remote ML Systems QA & Evaluation Engineer role in the description above.
We appreciate your interest in this position.
Join Data Annotation and contribute to our ongoing work.
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