Remote ML Systems Engineer & Prompt Designer

DataAnnotation; Portland (OR); 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 write the answers a strong practitioner would give, shaping how the next generation handles the field.

You’ll write prompts, review AI output for subtle errors, and produce correct solutions grounded in real practitioner experience. This role offers flexible, remote, project-based work.

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

Prompts for ML reasoning

Model evaluation & debugging

Productionizing ML systems

Technical writing

Tools

Python

PyTorch

JAX

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test model reasoning about ML systems and write the answers a strong practitioner would give, shaping how the next generation handles the field.

You’ll write prompts, review AI output for subtle errors, and produce correct solutions grounded in real practitioner experience. This role offers flexible, remote, project-based work.