ML Engineer - AI Reasoning Trainer; Remote
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
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 will write prompts that probe reasoning, review model outputs for subtle errors, and craft correct solutions grounded in real practitioner experience.
Comfort with Python and modern ML stacks (PyTorch or JAX) and clear written English are essential.
We would love to welcome a new ML Engineer - AI Reasoning Trainer (Remote, Flexible) to our organisation in Provo, UT, United States.
The following opening is for a ML Engineer - AI Reasoning Trainer (Remote, Flexible) with Data Annotation.
Our team is growing, and we are hiring a ML Engineer - AI Reasoning Trainer (Remote, Flexible) in Provo, UT, United States.
This opening is for the ML Engineer - AI Reasoning Trainer (Remote, Flexible) role at Data Annotation.
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