AfterQuery ExpertsAbout this role
AfterQuery is seeking AI / ML Engineer Experts to build and evaluate the model inference, GPU kernels, and ML systems performance scenarios that frontier AI labs use to test model judgment. In this remote, asynchronous role you will design realistic engineering problems, review how models reason through them, and give detailed feedback that makes the resulting training data trustworthy.
Why Apply
Competitive Compensation: $115-$135/hour, paid weekly
Innovative Impact: Join a YC-backed research lab shaping how frontier models reason about software
Flexible Engagement: Fully remote and asynchronous, on your own schedule
Responsibilities
Design challenging, realistic model inference, GPU kernels, and ML systems performance tasks drawn from production practice
Evaluate model responses for correctness, sound reasoning, and subtle failure modes
Document your reasoning clearly so another engineer can audit the judgement
Required Qualifications
Professional experience in ML engineering, inference optimization, or systems ML
Familiarity with GPU execution, kernel-level performance, or serving stacks
Ability to reason precisely about numerical and performance trade-offs
About AfterQuery
AfterQuery is a research lab investigating the boundaries of artificial intelligence through novel datasets and experimentation. We are backed by top investors, including Y Combinator and Box Group, and support all leading AI labs.
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Company:
AfterQuery Experts
Level of experience (years):
Senior (5+ years of experience)
How to apply:
Please mention NLP People as a source when applying