ML Systems Reasoning Engineer — Remote & Flexible

DataAnnotation; Somerville (MA); Remote; USD 165,000 - 207,000; Full time

Benefits offered by this job

Remote work

Flexible schedule

Project-based work

Job summary

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and to write robust answers that guide the next generation of practitioners.

You will write prompts, review model outputs for subtle errors, and craft correct solutions grounded in real-world experience. This remote, flexible role emphasizes practical effectiveness and clear English communication.

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

Model training

Model evaluation

Model deployment

Python

Tools

PyTorch

JAX

Python

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and to write robust answers that guide the next generation of practitioners.

You will write prompts, review model outputs for subtle errors, and craft correct solutions grounded in real-world experience. This remote, flexible role emphasizes practical effectiveness and clear English communication.