AI Training Data Annotation Consultant (Real...

• Support annotation & QA for AI-driven home valuation. You’ll establish data standards that train and evaluate the LLMs powering home value algorithm. We’ll teach you real estate market knowledge; you bring strong annotation discipline and AI literacy., + Establish & enforce annotation standards for real estate datasets (neighborhoods, market conditions, property signals)

• Review annotated work for accuracy & consistency; identify systemic errors and coach team on corrections

• Evaluate how LLM outputs compared to human judgment; flag where models miss important nuances

• Research unfamiliar neighborhoods using structured methodology; develop domain expertise over time

• Spot & escalate data quality issues that would degrade valuation accuracy

• Integrate LLMs into your workflows to accelerate research and improve annotation efficiency.

• Annotation/QA discipline: Prior experience with labeling, tagging, categorizing, or data classification work (professional or informal). Comfort with structured rules and consistency standards.

• AI tool literacy: Hands-on experience with LLMs (ChatGPT, Claude, Gemini, etc.). Ability to identify when AI outputs are wrong, confusing, or incomplete.

• Attention to detail & rule-following: Demonstrated ability to work within strict guidelines, apply rules consistently, and flag edge cases rather than guess.

• Feedback receptiveness: Openness to critical feedback on your work; ability to iterate and improve based on coaching.

Skillsets:

• Prior real estate industry experience (agent, appraiser, analyst, investor)

• Data validation or quality assurance background

• Experience evaluating AI/ML model outputs

• Familiarity with structured research methodologies

• Background in geographic information systems (GIS) or spatial analysis

Education:

• Bachelor’s degree in English, Linguistics or a related field.