Prior experience with labeling, tagging, categorizing, or data classification work
Hands-on experience with LLMs (ChatGPT, Claude, Gemini, etc.)
Demonstrated ability to work within strict guidelines
Openness to critical feedback on your work
Requirements:
Establish enforce annotation standards for real estate datasets
Review annotated work for accuracy and consistency
Evaluate how LLM outputs compare to human judgment
Research unfamiliar neighborhoods using structured methodology
Job description
Duration: 6 months contract
Job Description:
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.
Responsibilities:
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.
Experience:
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.
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring. #LI-AS132
