Remote ML Systems Engineer: Prompting & Deployment

DataAnnotation; Kansas City (MO); Remote; USD 170,000 - 243,000; Full time

Job summary

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

You’ll write prompts, review AI outputs for subtle errors, and craft correct, grounded solutions based on real-world experience. Remote-friendly and project-based, compensation reflects task difficulty and specialization.

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

Model evaluation

Model deployment

Python

PyTorch/JAX

English writing

Tools

Python

PyTorch

JAX

Job description

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

You’ll write prompts, review AI outputs for subtle errors, and craft correct, grounded solutions based on real-world experience. Remote-friendly and project-based, compensation reflects task difficulty and specialization.