What you'll do

Gridnaut Recruiting is hiring a remote MLOps Engineer (JAX, PyTorch, Pallas/Triton) contractor to support a leading AI lab. You will contribute domain expertise to model training, evaluation, and structured task review. Work is fully remote, hourly, and flexible.

Who we're looking for

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.

Compensation

Pay range is $100–$140/hr depending on experience and demonstrated skill. Strong contributors may be promoted based on task quality and throughput.

Commitment

Flexible part-time hours, fully remote. Hourly contractor engagement.