Remote ML Engineer & AI Reasoning Trainer

DataAnnotation; Boulder (CO); Remote; USD 165,000 - 248,000; Full time

Benefits offered by this job

Flexible work

Remote work

Project-based engagements

Job summary

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and to craft practical, deployment-ready answers.

You will write prompts to probe model reasoning, review AI outputs for subtle errors, and provide correct, experience-based solutions. The role supports flexible, remote collaboration and offers compensation up to $150+ per hour with substantial project opportunities.

Qualifications

• Hands-on experience training, evaluating, or deploying models.
• Comfort with the modern ML stack; Python and PyTorch or JAX are standard.
• Clear written English: explanations are the training signal.

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 written English

Education

No degree required

Tools

Python

PyTorch

JAX

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and to craft practical, deployment-ready answers.

You will write prompts to probe model reasoning, review AI outputs for subtle errors, and provide correct, experience-based solutions. The role supports flexible, remote collaboration and offers compensation up to $150+ per hour with substantial project opportunities.