ML Engineer — AI Reasoning Trainer (Remote & Flexible)

DataAnnotation; Kingston (RI); Remote; USD 124,000 - 207,000; Full time

Benefits offered by this job

Flexible remote work

Project-based work

Competitive hourly pay

Job summary

DataAnnotation seeks a Machine Learning Engineer to stress-test model reasoning, focusing on training dynamics, evaluation design, data pipelines, and deployment trade-offs. You’ll write prompts, review model outputs for errors, and craft correct solutions based on real-world practitioner experience.

Expect to work with Python and modern ML stacks (PyTorch or JAX). Remote, project-based work with competitive hourly compensation.

Qualifications

• Hands-on experience training, evaluating, or deploying ML models.
• Proficiency with Python; experience in PyTorch or JAX.
• Clear written English; no degree required.

Responsibilities

• Write prompts that probe model reasoning about ML systems.
• Review AI output for subtle errors and mistakes.
• Write correct solutions grounded in practitioner experience.

Skills

Hands-on ML experience

Python

PyTorch / JAX

Tools

Python

PyTorch

JAX

Job description

DataAnnotation seeks a Machine Learning Engineer to stress-test model reasoning, focusing on training dynamics, evaluation design, data pipelines, and deployment trade-offs. You’ll write prompts, review model outputs for errors, and craft correct solutions based on real-world practitioner experience.

Expect to work with Python and modern ML stacks (PyTorch or JAX). Remote, project-based work with competitive hourly compensation.