Remote ML Engineer & AI Trainer: Probe & Improve Reasoning

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

Benefits offered by this job

Flexible work arrangements

Remote work

Project-based income

Job summary

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and to craft responses that guide the next generation of practitioners. You will write prompts, review model outputs, and supply grounded, correct solutions based on real-world experience.

The role emphasizes hands-on ML work, familiarity with Python and modern stacks (PyTorch/JAX), and clear written communication. Remote and project-based opportunities are available.

Qualifications

• Hands-on experience training, evaluating, or deploying models professionally or in serious personal work.

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 deployment

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and to craft responses that guide the next generation of practitioners. You will write prompts, review model outputs, and supply grounded, correct solutions based on real-world experience.

The role emphasizes hands-on ML work, familiarity with Python and modern stacks (PyTorch/JAX), and clear written communication. Remote and project-based opportunities are available.