ML Reasoning Engineer – Remote, Flexible

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

Benefits offered by this job

Flexible remote work

Competitive pay

Project-based work

Job summary

DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.

As a Machine Learning Engineer you’ll stress-test how models reason about ML systems and write the answers a strong practitioner would give, shaping how the next generation handles your field.

Qualifications

• Hands-on experience training, evaluating, or deploying models professionally or in serious personal work.
• 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

Clear written English

Tools

Python

PyTorch

JAX

Job description

DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.

As a Machine Learning Engineer you’ll stress-test how models reason about ML systems and write the answers a strong practitioner would give, shaping how the next generation handles your field.