Remote ML Engineer -- AI Reasoning & Evaluation

DataAnnotation; Alabama; Remote; USD 124,000 - 207,000; Full time

Benefits offered by this job

Remote work

Flexible projects

Job summary

DataAnnotation is seeking a seasoned Machine Learning Engineer to stress-test model reasoning, evaluation methods, data pipelines, and deployment trade-offs. You’ll craft prompts, review outputs for errors, and write grounded, correct solutions drawing on practical experience.

The role emphasizes hands-on ML work with Python and PyTorch or JAX, clear English communication, and does not require a degree. Flexible, remote project-based work is common at DataAnnotation.

Qualifications

• Hands-on experience training, evaluating, or deploying ML models.
• Strong Python and ML framework skills (PyTorch or JAX).
• Clear written English: your explanations are the training signal.

Responsibilities

• Write prompts that probe how models reason about ML systems and productionizing them.
• Review AI outputs for subtle errors and misdiagnosed failures.
• Write correct solutions grounded in real practitioner experience.

Skills

ML engineering

English communication

Tools

Python

PyTorch

JAX

Job description

DataAnnotation is seeking a seasoned Machine Learning Engineer to stress-test model reasoning, evaluation methods, data pipelines, and deployment trade-offs. You’ll craft prompts, review outputs for errors, and write grounded, correct solutions drawing on practical experience.

The role emphasizes hands-on ML work with Python and PyTorch or JAX, clear English communication, and does not require a degree. Flexible, remote project-based work is common at DataAnnotation.