ML Systems Engineer: Prompting & Validation; Remote
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Data Annotation is seeking 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 based on practical, real-world experience. This role emphasizes Python, PyTorch or JAX, and strong written English.
Remote, flexible engagement with compensation up to $150+ per hour, reflecting task difficulty and specialization. Join a platform that connects 1M+ experts with leading AI models and projects.
The following role is for a ML Systems Engineer:
Prompting & Validation (Remote) with Data Annotation.
This opportunity is part of our work in IT & Technology.
The advertised compensation is 124..
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the ML Systems Engineer:
Prompting & Validation (Remote) role in the description above.
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