About The Position

We are sourcing independent Real Estate, Rental, and Leasing Specialists to provide their expertise for an AI benchmark evaluation project. As AI models increasingly generate professional-grade property valuations, lease agreements, and real estate market analyses, their accuracy relies entirely on robust, expert-crafted training data. The objective of this project is to autonomously produce high-quality evaluation tasks, strong prompts, and clear, well-structured rubrics that generate clean, reliable data for model training. Project Deliverables & Scope Operate autonomously to design complex evaluation frameworks and provide structured training data. Expected deliverables include: Task & Prompt Creation: Generating realistic, high-quality prompts that compel the AI model to produce complex, professional-grade deliverables specific to real estate transactions, property management, and leasing agreements. Rubric Development: Writing clear, well-structured evaluation rubrics with criteria that are highly specific, non-ambiguous, and easy to score. Benchmark Evaluation Data Generation: Producing clean, reliable training data that directly aids in the evaluation and refinement of AI models handling complex real estate and property management tasks. Quality Assurance & Fact-Checking: Ensuring all generated tasks and scoring criteria reflect strict, real-world real estate market standards, leasing regulations, and property valuation methodologies.

Requirements

  • Demonstrable professional expertise within the real estate, property management, or leasing sectors, with a deep understanding of industry standards, legal terminology, and property market deliverables.
  • Strong writing and prompt generation skills, with the ability to design highly realistic, complex real estate task scenarios for AI evaluation.
  • Proficiency in rubric generation, specifically the ability to create objective, non-ambiguous scoring criteria that leave no room for subjective interpretation.
  • A meticulous, detail-oriented approach to fact-checking lease contracts, property appraisals, zoning regulations, and market data to generate reliable data for system benchmarking.
  • Supply a secure computer and high‑speed internet

Responsibilities

  • Task & Prompt Creation: Generating realistic, high-quality prompts that compel the AI model to produce complex, professional-grade deliverables specific to real estate transactions, property management, and leasing agreements.
  • Rubric Development: Writing clear, well-structured evaluation rubrics with criteria that are highly specific, non-ambiguous, and easy to score.
  • Benchmark Evaluation Data Generation: Producing clean, reliable training data that directly aids in the evaluation and refinement of AI models handling complex real estate and property management tasks.
  • Quality Assurance & Fact-Checking: Ensuring all generated tasks and scoring criteria reflect strict, real-world real estate market standards, leasing regulations, and property valuation methodologies.
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