Engineering & Software Domain Expert
Mercor Experts · Bay Area, CA, USA · Research / analysis
Engineering & Software Domain Expert is an open role at Mercor Experts, located in Bay Area, CA, USA, with pay listed as $65–$105/hr.
Applications open on Mercor Experts’ own site. How we make money.
At a glance
- Pay
- $65–$105/hrStated by Mercor Experts
- Location
- Bay Area, CA, USA
- Work type
- Research / analysis
- Field
- Science / STEM
- Listed
- Since Aug 21, last confirmed Oct 28
How the pay compares
Higher than 70% of the 120 distinct hourly rates advertised for Science / STEM roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.
From Mercor Experts’ listing
“Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models.”
Show the full listing
Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models.
1. Overview
We are hiring a senior engineering and software domain expert to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real engineering and software development work.
Your engineering expertise is the substance of this role. You will review the quality of engineering knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practicing specialist rather than a generalist.
This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams.
Location: This is a hybrid role based in the Bay Area, California. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts. Relocation assistance is not provided.
2. Key Responsibilities
- Data QA and reviews: Vet the quality of engineering knowledge work tasks and model outputs, spotting missing behaviors, thin reasoning, code that runs but is subtly wrong, unhandled edge cases, and answers that read well but would not survive a real code review.
- Instruction specs and golden datasets: Write high-quality instruction specs, produce golden solutions to engineering problems, and define new engineering tasks that reflect how the work is actually done in practice.
About Mercor Experts: how it pays, how to get in, and what to know first. Read the guide →
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Frequently asked questions
How do I apply for the Engineering & Software Domain Expert role at Mercor Experts?
Applications go through Mercor Experts's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Mercor Experts's access model is "Apply" (Profile / role application). This listing was first seen here on August 21, 2026 and was still live at the last check.
Is the Engineering & Software Domain Expert role at Mercor Experts remote?
This role is listed for: Bay Area, CA, USA.
What does the Engineering & Software Domain Expert role at Mercor Experts pay?
Mercor Experts lists this role's pay as $65–$105/hr, quoted from the listing rather than estimated.
What kind of work is Engineering & Software Domain Expert?
Research / analysis. Law, medicine, finance, engineering, operations and AI evaluation
Is Mercor Experts a legitimate AI-training platform?
Direct expert network - and that relationship is rated "Confirmed" here because it can be checked against www.mercor.com rather than taken on Mercor Experts's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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