Domain Advisor Consultant (Subject Matter Expert)
Agency - World Wide - Remote
Posted Jun 7, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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Market context
- U.S. role benchmark (BLS OEWS)
- $55,390 U.S. median for this role
- Projected growth (BLS Employment Projections)
- -0.1% - Decline
Matched to SOC 25-2021 - Teaching and Education aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Domain Advisor Consultant (Subject Matter Expert) World Wide - Remote Engagement Type: Business-to-Business (B2B) / Independent Contractor Location: Remote The Opportunity: Define the "Ground Truth" for Generative AI We are looking to engage elite Subject Matter Experts (SMEs) to partner with us on high-impact AI evaluation and training projects. We are not looking for generalists; we are seeking established authorities-the top 1% in their respective fields-who are eager to apply their deep domain knowledge to shape the reasoning, accuracy, and safety of next-generation Large Language Models (LLMs). This is a consulting engagement for independent professionals who want to help define what "perfection" looks like in their industry. You will not just be grading AI; you will be architecting the "Gold Standard" rubrics that teach models how to think like an expert. Scope of Services & Deliverables This engagement focuses on high-level advisory and specialized analysis. Consultants will operate under a Statement of Work (SOW) to provide the following deliverables: Rubric Architecture: Review and advise on the quality criteria used to evaluate AI outputs. You will determine if the AI's logic holds up to professional scrutiny in your field. "Golden" Data Curation: Create, edit, or certify "Golden Tasks"-benchmark examples of perfect prompts and responses that serve as the ground truth for model training. Expert Gap Analysis: Analyze model failures (hallucinations, logical fallacies) and provide technical breakdowns of why the model failed and how a human expert would have approached the problem. Advisory on Complexity: Consult on the difficulty and nuance of
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