ML Systems Auditor & Prompt Engineer (Remote)

DataAnnotation; Sandy Springs (GA); Remote; USD 170.000 - 243.000; Vollzeit

Zusammenfassung

DataAnnotation is seeking a Machine Learning Engineer to stress-test model reasoning about ML systems, including training dynamics, evaluation design, data pipelines, and deployment trade-offs. You will write prompts, review outputs, and craft correct solutions grounded in real practitioner experience.

Remote-friendly role with flexible project work. Compensation reflects hourly work and project variability, with emphasis on practical impact and measurable results.

Qualifikationen

• Hands-on experience training, evaluating, or deploying models.
• Clear written English: your explanations are the training signal.
• Comfort with the modern ML stack; Python and PyTorch or JAX.
• No degree required; focus on ability over formal credentials.

Aufgaben

• Write prompts that probe how models reason about ML systems.
• Review AI output for subtle errors: leaky evaluations, wrong losses, misdiagnosed training failures.
• Write the correct solution when the model falls short, grounded in practitioner experience.

Kenntnisse

Hands-on ML deployment

Python/PyTorch/JAX

Clear written English

No degree required

Tools

Python

PyTorch

JAX

Jobbeschreibung

DataAnnotation is seeking a Machine Learning Engineer to stress-test model reasoning about ML systems, including training dynamics, evaluation design, data pipelines, and deployment trade-offs. You will write prompts, review outputs, and craft correct solutions grounded in real practitioner experience.

Remote-friendly role with flexible project work. Compensation reflects hourly work and project variability, with emphasis on practical impact and measurable results.