ML Engineer — AI Reasoning Trainer; Remote
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IT/Tech
Machine Learning/ ML Engineer, Data Annotation/ AI Labeling, AI Evaluation
Job Description & How to Apply Below
Data Annotation seeks a Machine Learning Engineer to stress-test model reasoning, focusing on training dynamics, evaluation design, data pipelines, and deployment trade-offs. You’ll write prompts, review model outputs for errors, and craft correct solutions based on real-world practitioner experience.
Expect to work with Python and modern ML stacks (PyTorch or JAX). Remote, project-based work with competitive hourly compensation.
This posting is for the ML Engineer — AI Reasoning Trainer (Remote & Flexible) role at Data Annotation, based in Kingston, RI, United States.
Our team is growing, and we are hiring a ML Engineer — AI Reasoning Trainer (Remote & Flexible) in Kingston, RI, United States.
This position is for the ML Engineer — AI Reasoning Trainer (Remote & Flexible) role at Data Annotation.
We are seeking a motivated ML Engineer — AI Reasoning Trainer (Remote & Flexible) to join Data Annotation in Kingston, RI, United States.
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