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.
Skills
What companies are looking for in this role.
Labeling and ranking machine learning training data with domain expertise
Curating and annotating specialized datasets to improve model performance
Auditing and correcting model-generated outputs for accuracy and quality
Providing expert domain knowledge to identify and correct model reasoning errors
Evaluating and interpreting complex model outputs across specialized domains
Working with multilingual or specialized text and audio data
Designing rigorous evaluation criteria and rubrics for model assessment
Translating domain-specific requirements into structured training and evaluation tasks
Evaluating linguistic nuances and cultural context in language model outputs
Balancing precision with scalable annotation workflows
Maintaining detailed documentation and style guides for annotation consistency
Providing structured feedback to enhance model accuracy and reasoning quality
Creating benchmark datasets to measure model capabilities in specific domains
Designing complex scenarios and edge cases to stress-test model reasoning
Collaborating with technical teams to improve model training methodologies
Identifying capability gaps and developing targeted mitigation techniques
Demonstrating attention to detail and personal accountability for output quality
Communicating complex domain concepts clearly and concisely to technical teams
Collaborating effectively within interdisciplinary teams and communities
Adapting quickly to new domains and learning specialized terminology rapidly
Technology
The tools and technologies that define this role.
Open Jobs
105 open AI Tutor & Domain Expert jobs across 13 companies.
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