ML Systems Reasoning Engineer; Remote, Projects
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Data Annotation is hiring a Machine Learning Engineer to stress-test model reasoning about ML systems, training dynamics, evaluation design, data pipelines, and deployment trade-offs. You will write prompts and review AI outputs, shaping how the next generation handles practical ML challenges.
Hands-on experience training, evaluating, or deploying models is required, with proficiency in Python and PyTorch or JAX. Clear written English is essential; no degree is required.
Consider building your career as a ML Systems Reasoning Engineer (Remote, Flexible Projects) at Data Annotation.
Join Data Annotation and contribute to our ongoing work.
Take a moment to read everything above and see whether this role is right for you.
This posting is for the ML Systems Reasoning Engineer (Remote, Flexible Projects) role at Data Annotation, based in Honolulu, HI, United States.
We are looking to fill the ML Systems Reasoning Engineer (Remote, Flexible Projects) position at Data Annotation in Honolulu, HI, United States.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
View / Apply for Jobs
Matching My Jurisdiction