About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: MLOps Engineer (JAX, PyTorch, Pallas/Triton) — IN Type: Contract Compensation: $35–$45/hour Location: Remote Commitment: 40 hours/week Role Responsibilities 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 expert...