Remote ML Engineer & AI Reasoning Trainer

DataAnnotation; South Carolina; Remote; USD 170,000 - 243,000; Full time

Benefits offered by this job

Flexible, remote work

Project-based work

Job summary

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems, evaluate outputs, and write robust solutions in real-world projects. You’ll work on prompts, reviews, and fixes, using Python and the modern ML stack to produce reliable results.

You will craft correct, grounded responses when models underperform, relying on hands-on ML experience and clear English communication in a flexible, remote, project-based environment.

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.

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 engineering

Python

Clear written English

Model evaluation

Tools

PyTorch

JAX

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems, evaluate outputs, and write robust solutions in real-world projects. You’ll work on prompts, reviews, and fixes, using Python and the modern ML stack to produce reliable results.

You will craft correct, grounded responses when models underperform, relying on hands-on ML experience and clear English communication in a flexible, remote, project-based environment.