ML Systems Auditor & AI Reasoning Trainer — Remote
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IT/Tech
AI Evaluation, Data Annotation/ AI Labeling
Job Description & How to Apply Below
Data Annotation seeks a Machine Learning Engineer to stress-test model reasoning about ML systems, including training, evaluation, debugging, and product ionizing workflows. You will craft prompts and review outputs to uncover subtle issues and then provide correct solutions grounded in hands-on practitioner experience.
The role emphasizes Python and modern ML stacks (PyTorch or JAX), remote-friendly work, and a performance-based compensation model that can reach $150+ per hour depending on task
We would love to welcome a new ML Systems Auditor & AI Reasoning Trainer — Remote to our team in AZ, United States.
The following role is for a ML Systems Auditor & AI Reasoning Trainer — Remote with Data Annotation.
Our group is growing, and we are hiring a ML Systems Auditor & AI Reasoning Trainer — Remote in AZ, United States.
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