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# Machine Learning Engineer - AI Trainer

- **Company:** Mercor, Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $72,800.0 - $93,600.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Distributed Systems, Machine Learning, Pytorch, Machine Learning Operations
- **Published:** May 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=97608607ae720165

## About the Role

Do you have experience in Writing skills?, Must-Have

 * 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization.
 * Hands-on production experience with JAX and/or PyTorch at scale.
 * Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton.
 * Demonstrable career progression.
 * Ability to engage reliably for at least 30 hours/week during weekdays.
 * Strong written communication skills and the ability to explain complex technical decisions clearly.

## Description

* Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics.
 * Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems.
 * Evaluate MLOps tasks and solutions and provide clear, written technical feedback.
 * Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks.
 * Collaborate with other subject matter experts to ensure consistency and accuracy in training data.


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