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Senior Domain Expert � Multi-Discipline AI Research Program
<p>We're building a research cohort of senior domain experts across seven specialist tracks � software/systems engineering, formal methods and computational science, ML inference and GPU kernels, enterprise operations, security, hardware design, and creative technology � to help evaluate how frontier AI models reason a
PLATFORMAfterQuery
LOCATIONRemote · eligibility varies
PAY$135/hr
SCHEDULESee role requirements
LAST CHECKED3 Nov 2026
THE OPPORTUNITY
Put your skills to work.
<p>We're building a research cohort of senior domain experts across seven specialist tracks � software/systems engineering, formal methods and computational science, ML inference and GPU kernels, enterprise operations, security, hardware design, and creative technology � to help evaluate how frontier AI models reason a
- Pay
- $135/hr
- Type
- Project engagement
- Work
- Remote
About the role
<p>We're building a research cohort of senior domain experts across seven specialist tracks � software/systems engineering, formal methods and computational science, ML inference and GPU kernels, enterprise operations, security, hardware design, and creative technology � 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.</p>
<p>Candidates must fall into one of the profiles listed below to be considered.</p>
<p><strong>Tracks & Requirements:</strong></p>
<ul>
<li><b>Senior Software/Systems Engineer</b><br>Domain: Software Engineering<br>Experience: 8�12 years<br>Education: Bachelor's (Master's preferred)</li>
<li><b>Research Scientist � Formal Methods / Computational Science</b><br>Domain: Science (Math / Physics / Chemistry / Biology)<br>Experience: 10+ years<br>Education: PhD/Doctorate required</li>
<li><b>ML Research Engineer � Inference & GPU Kernels</b><br>Domain: Machine Learning / AI<br>Experience: 6�10 years<br>Education: PhD/Doctorate, or Master's with a strong research record</li>
<li><b>Enterprise Operations / Domain Analyst</b><br>Domain: Operations (Supply Chain / Finance / Compliance)<br>Experience: 8�12 years<br>Education: Bachelor's (professional certifications a plus)</li>
Why apply
- Work directly on frontier AI research problems in your area of deep expertise
- Fully remote, flexible, asynchronous � fits around existing work
- Compensation scaled to track and seniority (see below)
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
- Meets the experience and education bar for at least one track in Full Description
- 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
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
- Track-specific bonus signal Science: formal methods/theorem proving (Lean/Coq), computational biology/genomics, condensed-matter or quantum physics
- Track-specific bonus signal Security: reverse engineering, cryptanalysis, CTF experience
- Track-specific bonus signal Hardware: RTL/HDL, CAD, robotics
- Track-specific bonus signal Media: audio engineering, linguistics, multimodal design
Role details are copied from the AfterQuery listing and can change. Check the platform before you apply.
Relevant skills
A few things to check
- Location and experience requirements.
- Schedule, compensation, and assessment process.
- Current availability on AfterQuery.
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