AI / ML Engineer - AI Trainer

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

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/Mamba 2, TensorRT-LLM, or GPU kernel work About After Query After Query 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.