ML Systems Reasoning Engineer — Remote

DataAnnotation; Hanover (NH); Remote; USD 193,000 - 234,000; Full time

Benefits offered by this job

Flexible work

Remote work

Project-based work

Job summary

DataAnnotation seeks a Machine Learning Engineer to stress-test model reasoning about ML systems. You will write prompts, review outputs for subtle errors, and craft correct solutions grounded in real practitioner experience.

Role emphasizes hands-on ML work, Python/PyTorch/JAX fluency, and clear written English. Remote, flexible engagements with international opportunities are available.

Qualifications

• Hands-on experience training, evaluating, or deploying models professionally or in serious personal work.
• Comfort with the modern ML stack; most tasks assume Python and PyTorch or JAX.
• Clear written English: your explanations are the training signal.
• No degree required. We care about what you can do, not where you learned it.

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

Hands-on ML training

Model evaluation

Model deployment

Python

PyTorch

JAX

Clear written English

Tools

Python

PyTorch

JAX

Job description

DataAnnotation seeks a Machine Learning Engineer to stress-test model reasoning about ML systems. You will write prompts, review outputs for subtle errors, and craft correct solutions grounded in real practitioner experience.

Role emphasizes hands-on ML work, Python/PyTorch/JAX fluency, and clear written English. Remote, flexible engagements with international opportunities are available.