What are the responsibilities and job description for the Real Estate Agent (PART TIME) position at HireTalent - Staffing & Recruiting Firm?
Title - Annotation Lead
Location - Los Angeles, CA (Remote)
Duration - 6 months contract
Job Description -
Job Overview
We are seeking experienced real estate professionals to support AI and Machine Learning initiatives focused on improving real estate transaction experiences. This is a remote contract opportunity ideal for licensed real estate agents or brokers seeking additional income while contributing to cutting-edge Artificial Intelligence projects.
Work schedules will generally align with 9:00 AM – 5:00 PM PST (plus lunch as needed), though hours, days, and project duration may vary based on business requirements. Assignments may last a few days at a time, with opportunities for recurring work on future projects.
Note.
About the Team
Artificial Intelligence (AI) and Machine Learning (ML) are central to the organization’s products and services, including automated home recommendations, conversational AI experiences, and intelligent real estate transaction tools.
The AI Platform team develops Large Language Model (LLM) and multimodal AI solutions that enhance customer experiences across real estate services. This role works closely with AI researchers, ML engineers, data scientists, software developers, and operations teams to improve AI-powered conversational and search experiences.
Position Summary
The Annotation Judge plays a critical role in evaluating, reviewing, and improving AI-generated interactions and annotations related to real estate conversations and customer experiences.
This position combines deep real estate expertise with strong analytical and language evaluation skills. The ideal candidate is detail-oriented, highly collaborative, and naturally curious about Artificial Intelligence and language subtleties.
Projects may include:
Evaluating AI-generated chatbot responses
Reviewing automatically annotated conversations
Assessing search result relevance and user query understanding
Supporting AI model training and calibration efforts
Helping define annotation guidelines and quality standards
Key Responsibilities
Review and evaluate annotated datasets to ensure quality and accuracy
Provide detailed feedback to engineers and AI teams to improve model performance
Collaborate with Data Scientists, ML Engineers, and Operations teams
Develop and maintain annotation guidelines and best practices
Help establish Ground Truth datasets for AI training
Contribute examples and recommendations for training content
Identify gaps in existing training materials and suggest improvements
Ensure consistency and clarity for annotation processes used by global teams
Minimum Qualifications
Minimum 3 years of active experience as a licensed Real Estate Agent or Broker
Strong understanding of the real estate transaction lifecycle
Demonstrated interest in Artificial Intelligence and AI-generated content evaluation
Bachelor’s degree in English, Linguistics, or a related field
Experience with Natural Language Processing (NLP), transcription, localization, or translation projects
Excellent analytical and attention-to-detail skills
Strong communication and collaboration abilities
Experience using NLP annotation or evaluation tools is a plus
Preferred Qualifications
Experience with copywriting, UX writing, or brand/content guideline development
Experience with:
Machine-generated speech evaluation
Search result evaluation
Search query categorization
Conversational AI analysis
Ability to manage complex processes independently and within team environments
Salary : $44