ML Systems Reasoning Engineer - Remote & Flexible

DataAnnotation; Missouri; Remote; USD 165,000 - 207,000; Full time

Benefits offered by this job

Flexible work

Remote projects

Job summary

DataAnnotation is seeking a Machine Learning Engineer to stress-test model reasoning about ML systems. You’ll craft prompts, review outputs for errors, and write corrected solutions grounded in real practitioner experience.

Experience in training, evaluating, or deploying models is required, with Python and PyTorch or JAX proficiency. No degree is required, and projects can be flexible and remote.

Qualifications

• Hands-on ML model training, evaluation or deployment experience.
• Strong Python and ML framework familiarity (PyTorch/JAX).
• Clear written English in explanations and documentation.

Responsibilities

• Write prompts that probe how models reason about ML systems.
• Review AI output for subtle errors and misdiagnoses.
• Write correct solutions grounded in practitioner experience.

Skills

Python

PyTorch

JAX

English writing

ML systems experience

Tools

PyTorch

JAX

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test model reasoning about ML systems. You’ll craft prompts, review outputs for errors, and write corrected solutions grounded in real practitioner experience.

Experience in training, evaluating, or deploying models is required, with Python and PyTorch or JAX proficiency. No degree is required, and projects can be flexible and remote.