Remote ML Systems Auditor & Prompt Engineer

DataAnnotation; Bowling Green (KY); Remote; USD 170,000 - 243,000; Full time

Job summary

DataAnnotation is seeking a Machine Learning Engineer to stress-test model reasoning about ML systems and craft the answers a strong practitioner would give.

You will write prompts, review AI outputs for subtle errors, and produce correct solutions grounded in real-world experience, working across training, evaluation, and deployment challenges.

This role offers flexible, remote work with project-based tasks and collaboration with a large global contributor network.

Qualifications

• Hands-on experience training, evaluating, or deploying models professionally or in serious personal work.
• Comfort with the modern ML stack; most tasks assume Python and PyTorch or JAX.
• Clear written English: your explanations are the training signal.
• No degree required. We care about what you can do, not where you learned it.

Responsibilities

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

Skills

Hands-on ML experience

Python

PyTorch

JAX

Clear English

Tools

PyTorch

JAX

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test model reasoning about ML systems and craft the answers a strong practitioner would give.

You will write prompts, review AI outputs for subtle errors, and produce correct solutions grounded in real-world experience, working across training, evaluation, and deployment challenges.

This role offers flexible, remote work with project-based tasks and collaboration with a large global contributor network.