What you'll do

Gridnaut Recruiting is hiring a remote MLOps Engineer, LLM Performance (Kernels, Profiling, Serving) 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

Design challenging tasks across kernels, profiling, debugging and inference serving, including adversarial problems that expose where frontier models fail on accelerator code (for example Pallas kernels on TPU), and write accurate, well-structured solutions to them.
Guide research and engineering teams to close knowledge gaps and improve AI model performance on ML systems, compilers and training infrastructure topics.
Evaluate ML systems tasks and solutions, and provide clear written technical feedback that stands up to expert review.
Develop guidelines and detailed rubrics covering kernel optimization, profiler output interpretation, distributed systems reasoning, and serving throughput and latency trade-offs.
Remote, independent contractor engagement through Gridnaut Recruiting.

Compensation

Pay range is $90–$120/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.