Remote ML Engineer & AI Reasoning Trainer

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

Benefits offered by this job

Flexible project-based work

Remote work

Job summary

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and to shape how the next generation handles your field. You’ll write prompts, review outputs for subtle errors, and craft correct solutions grounded in practitioner experience.

You will work with Python and PyTorch or JAX, and benefit from a clearly written English style. No formal degree is required; compensation is project-based and remote, with earnings reported per hour and per year

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

Python

PyTorch

JAX

ML engineering

Model evaluation

Tools

PyTorch

JAX

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and to shape how the next generation handles your field. You’ll write prompts, review outputs for subtle errors, and craft correct solutions grounded in practitioner experience.

You will work with Python and PyTorch or JAX, and benefit from a clearly written English style. No formal degree is required; compensation is project-based and remote, with earnings reported per hour and per year