AI Tutor & Domain Expert
Domain experts apply specialized knowledge to strengthen AI systems through hands-on work in data annotation, model evaluation, and training refinement. These professionals leverage deep expertise in specific fields—from psychology and audio engineering to business operations and customer support—to create high-quality training datasets and provide critical feedback that shapes how AI models behave. They work closely with technical teams to translate real-world problem-solving into actionable data that improves model reasoning, accuracy, and domain-specific performance. What distinguishes this work is the direct expertise requirement; practitioners must combine genuine mastery in their subject area with the ability to decompose complex problems into trainable signals for AI systems. These roles typically sit within dedicated human data or training teams at AI companies, collaborating with machine learning engineers and product teams to ensure models learn nuanced, accurate representations of their domains.
Measured across 54 of 54 open postings.
This role is advertised at 2 levels, so a single figure for the role would describe none of them. Experience and pay are the midpoints for each level on its own.
| Level | Share | Median years | Median pay |
|---|---|---|---|
| Entry | 52%(28) | — | — |
| Mid | 19%(10) | — | — |
A dash means too few postings stated it to report a midpoint at any level. Most companies do not publish a salary band, so pay is indicative rather than a market rate. 2 levels with fewer than 10 open postings are not shown.
“training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences”
“help define what excellent AI-assisted banking work looks like and turn that standard into better models and products”
Requirements are a share of every open posting, so a role missing from this list is one where almost nobody asks. Work mode is different: many postings never say, so that figure counts only the ones that do. A posting stops being advertised when it is filled, cancelled or reorganised, so read the last figure as how long these stay on the market, not as time to hire.
Skills
What companies are looking for in this role.
Annotation schema design
Training data curation
Research synthesis and insight
Subject matter expert knowledge extraction
Localization and translation management
Expert model output review
AI evaluation design
Data annotation operations
AI red teaming and safety testing
Frontier AI research
LLM data infrastructure
Technical communication
Technology
The tools and technologies that define this role.
Open Jobs
54 open AI Tutor & Domain Expert jobs across 9 companies.
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