ML Systems Auditor & Prompt Engineer — Remote
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
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 that probe reasoning, review AI outputs for subtle errors, and craft correct solutions grounded in practitioner experience, with remote-flexible engagement and project-based work.
As part of Data Annotation, you’ll work with a modern ML stack (Python, PyTorch or JAX), with no degree
As a ML Systems Auditor & Prompt Engineer — Remote, you will play an important part at Data Annotation in OR, United States.
We are looking to fill the ML Systems Auditor & Prompt Engineer — Remote position at Data Annotation in OR, United States.
The ML Systems Auditor & Prompt Engineer — Remote role at Data Annotation is now open for applications in OR, United States.
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