ML Systems Prompt Engineer - 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 and to write answers a strong practitioner would give, shaping how the next generation handles your field.
You’ll write prompts that probe training, evaluation, debugging, and product ionizing ML systems, review AI output for subtle errors, and provide correct solutions grounded in real-world practitioner experience. Remote-friendly, project-based work.
This posting is for the ML Systems Prompt Engineer
- Remote & Flexible role at Data Annotation, based in Logan, UT, United States.
The following role is for a ML Systems Prompt Engineer
- Remote & Flexible with Data Annotation.
Our team is growing, and we are hiring a ML Systems Prompt Engineer
- Remote & Flexible in Logan, UT, United States.
This role is for the ML Systems Prompt Engineer
- Remote & Flexible role at Data Annotation.
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