Remote ML Systems Engineer — Prompting & Debugging

DataAnnotation; Cincinnati (OH); Remote; USD 124,000 - 207,000; Full time

Benefits offered by this job

Remote work

Flexible project-based work

Job summary

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about training dynamics, evaluation design, data pipelines, and deployment trade-offs. You’ll write prompts, review AI output for subtle errors, and craft correct solutions grounded in real practitioner experience.

This remote, contract-friendly role values hands-on ML work; Python and PyTorch or JAX are assumed. Compensation ranges up to 150+ USD per hour, with many contributors earning 100k–200k+ annually

Qualifications

• Hands-on experience training, evaluating, or deploying models.
• Comfort with Python stack (PyTorch/JAX).
• Excellent written English required; no degree required.

Responsibilities

• Write prompts that probe model reasoning about training, evaluation, and deployment.
• Review AI outputs for subtle errors such as leaky evaluations or wrong losses.
• Draft correct solutions grounded in practitioner experience.

Skills

ML experience

Python

PyTorch/JAX

English writing

Tools

PyTorch

JAX

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about training dynamics, evaluation design, data pipelines, and deployment trade-offs. You’ll write prompts, review AI output for subtle errors, and craft correct solutions grounded in real practitioner experience.

This remote, contract-friendly role values hands-on ML work; Python and PyTorch or JAX are assumed. Compensation ranges up to 150+ USD per hour, with many contributors earning 100k–200k+ annually