ML Systems Auditor & Prompt Engineer — Remote

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

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