Remote ML Engineer & AI Reasoning Trainer

DataAnnotation; Alaska; Remote; USD 170,000 - 243,000; Full time

Benefits offered by this job

Flexible schedule

Remote work

Job summary

DataAnnotation is a platform where 1M+ experts train the world’s leading AI models. In this role, you’ll write prompts that probe model reasoning, review outputs for subtle errors, and craft correct solutions grounded in practitioner experience. Flexible, remote work with project-based compensation awaits.

We value hands-on ML engineering, Python proficiency, and clear English writing. No formal degree required; what you can do matters more than where you learned it.

Qualifications

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

Responsibilities

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

Skills

ML engineering

Python

PyTorch or JAX

Technical writing

Tools

Python

PyTorch

JAX

Job description

DataAnnotation is a platform where 1M+ experts train the world’s leading AI models. In this role, you’ll write prompts that probe model reasoning, review outputs for subtle errors, and craft correct solutions grounded in practitioner experience. Flexible, remote work with project-based compensation awaits.

We value hands-on ML engineering, Python proficiency, and clear English writing. No formal degree required; what you can do matters more than where you learned it.