About this opportunity
AfterQuery lists this AI / ML Engineer - AI Trainer opportunity in tempe, Arizona. Review the employer’s description below for duties, qualifications and application requirements.
Job description
ML Research Engineer — Inference & GPU Kernels
Remote
Contract
$135/hr
What you'll need 1 step
1 Resume
Job Description
We're building a research cohort of senior domain experts in ML inference and GPU kernel engineering — spanning inference serving systems, kernel optimization, and large-model deployment infrastructure — to help evaluate how frontier AI models reason about hard, real-world expert-level problems. This is research-and-evaluation work, not production engineering: you'll be defining what "correct" and "excellent" look like on problems you already know deeply.
Experience: 6–10 years
Education: PhD/Doctorate, or Master's with a strong research record
Candidates who meet the requirements and provide the requested materials will be prioritized for review. As part of this process, we conduct thorough background checks.
Why Apply
Work directly on frontier AI research problems in your area of deep expertise
Fully remote, flexible, asynchronous — fits around existing work
Competitive hourly compensation ($100–$170/hr, based on experience)
Responsibilities
Design realistic technical scenarios and problem sets within your track
Author expert-level reference solutions and grading rubrics
Evaluate AI-generated outputs for correctness, depth, and domain judgment
Required Qualifications
Currently or recently active in the field — hands-on, not purely academic-adjacent
Strong written communication — you'll be authoring technical explanations and structured feedback, not just doing the work itself
Comfortable with independent, asynchronous, remote work
Meets the experience and education bar described in Full Description
Preferred Qualifications
Prior research publication record, open-source contributions, or recognized work product in your track's domain
Experience evaluating, reviewing, or grading others' technical work (peer review, code review, grading, editing)
Track-specific bonus signal ML: SGLang, vLLM, Mamba/Mamba2, TensorRT-LLM, or GPU kernel work
About AfterQuery
AfterQuery is a research lab investigating the boundaries of artificial intelligence through novel datasets and experimentation. We believe great AI comes from exceptional, human-generated data.
We're backed by top investors, including Y Combinator and Box Group, and support all leading AI labs.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.