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Real Estate, Rental and Leasing Specialist

Meridial · 100% remote · Contract · Posted

Pay
$10–30/hr
Location
United States
Languages
English
Hours
Flexible
Openings
Not listed
Level
Expert
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Summary

Create real estate and leasing tasks, prompts, and scoring rubrics for AI evaluation. Check lease contracts, property appraisals, zoning rules, and market data.

What you'll do

  • Create complex real estate, property management, and leasing evaluation prompts
  • Write objective scoring rubrics
  • Produce reliable benchmark training data
  • Check market standards, leasing regulations, and valuation methods

Requirements

  • Professional expertise in real estate, property management, or leasing
  • Deep knowledge of industry standards and legal terminology
  • Strong writing and prompt creation skills
  • Ability to create clear, objective scoring criteria
  • Careful fact-checking of contracts, appraisals, zoning rules, and market data
  • Ability to work independently
  • Secure computer and high-speed internet

Skills

  • Real Estate
  • Property Management
  • Leasing
  • Property Valuation
  • Zoning Regulations
  • Market Analysis
  • Prompt Writing
  • Rubric Development

Full description

Project Overview

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.

Required Expertise

To successfully fulfill the deliverables of this project, Contractors must possess deep industry knowledge to craft realistic professional scenarios.

Core skillset includes:

  • 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.

We offer a pay range of $10-to-$30 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Engagement Type: Freelance / Independent Contractor

Workplace Type: Remote

Location: open to applicants in United States.

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