Senior Domain Expert — Multi-Discipline AI Research Program
Its $135/hr is above the $75/hr median of the Law, Medicine & Finance roles open now, whose typical pay runs $40–$150/hr. How that pay moves week by week is in our research on Law, Medicine & Finance work.
Half of all Law, Medicine & Finance roles come down within 29.1 days of being listed, and 51.7% are still up after four weeks. This one was posted 113 days ago.
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About the role
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. Candidates must fall into one of the profiles listed below to be considered. Tracks & Requirements:
Senior Software/Systems EngineerDomain: Software EngineeringExperience: 8–12 yearsEducation: Bachelor's (Master's preferred) Research Scientist - Formal Methods / Computational ScienceDomain: Science (Math / Physics / Chemistry / Biology)Experience: 10+ yearsEducation: PhD/Doctorate required ML Research Engineer - Inference & GPU KernelsDomain: Machine Learning / AIExperience: 6–10 yearsEducation: PhD/Doctorate, or Master's with a strong research record Enterprise Operations / Domain AnalystDomain: Operations (Supply Chain / Finance / Compliance)Experience: 8–12 yearsEducation: Bachelor's (professional certifications a plus) Security Engineer - Cryptanalysis / Reverse EngineeringDomain: SecurityExperience: 6–10 yearsEducation: Bachelor's (Master's preferred) Mechanical / Hardware Design EngineerDomain: Hardware (CAD / RTL / Robotics)Experience: 8–12 yearsEducation: Bachelor's (PE license or Master's a plus) Creative Technologist - Audio / Design / LinguisticsDomain: MediaExperience: 6–10 yearsEducation: Bachelor's (Master's a plus)
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. Please apply only if you meet these requirements - candidates who meet fewer than 70% of the stated qualifications may be flagged for misrepresenting their professional experience, which could affect eligibility for future project staffing.
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
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)
Where you can work
This role is 100% remote: you can work from any country except Andorra, Afghanistan, Angola, Argentina, Azerbaijan, Barbados, Bangladesh, Burkina Faso, Burundi, Bolivia, Brazil, Belarus, Belize, DR Congo, Central African Republic, Congo (Republic), Chile, Cameroon, China, Colombia, Cuba, Cape Verde, Djibouti, Dominica, Dominican Republic, Egypt, Eritrea, Fiji, Micronesia, Gabon, Grenada, Georgia, Ghana, Gibraltar, Guinea, Equatorial Guinea, Guinea-Bissau, Honduras, Haiti, Iraq, Iran, Japan, Kyrgyzstan, Cambodia, Kiribati, Comoros, St. Kitts and Nevis, North Korea, South Korea, Kazakhstan, Laos, Lebanon, Liberia, Lesotho, Libya, Monaco, Montenegro, Marshall Islands, Mali, Myanmar, Macau, Mauritania, Maldives, Malawi, Niger, Nigeria, Nicaragua, Nepal, Nauru, Papua New Guinea, Palestine, Palau, Paraguay, Russia, Saudi Arabia, Solomon Islands, Seychelles, Sudan, Sierra Leone, San Marino, Somalia, Suriname, South Sudan, São Tomé and Príncipe, Syria, Eswatini, Chad, Togo, Tajikistan, Timor-Leste, Turkmenistan, Tonga, Tuvalu, Ukraine, Uganda, Uruguay, Vatican City, St. Vincent and Grenadines, Venezuela, Vanuatu, Samoa, Yemen, Zambia and Zimbabwe.
From AfterQuery's job posting, checked 14 Nov 2026.
About AfterQuery
Expert reasoning and rubrics for frontier labs, weekly Stripe pay.
How it pays: Every Friday through Stripe, to a bank account in your own name, for the previous week's approved work; AfterQuery takes no fees, cards are not supported, and Stripe holds your first payout for 7 days (its Payments help page, read 13 Nov 2026).
When it pays: Every Friday, through Stripe, for the week before. How often others pay
Interview: on some roles or projects (AfterQuery pool skills assessment (plus an interview step)). Platforms with no interview
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