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
Our group is growing, and we are hiring a ML Systems Auditor & AI Reasoning Trainer — Remote in AZ, United States.
Learn more about the ML Systems Auditor & AI Reasoning Trainer — Remote role in the description above.
We appreciate your interest in this position.
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.
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