Real Estate & Property Law Expert

Pay not listedTuringRemoteOpen to US residents

At a glance

You will review and evaluate AI-generated responses to U.S. property law hypotheticals, apply a structured legal rubric to assess issue spotting and accuracy of doctrines, and provide detailed annotations and written feedback to refine AI models. The platform is looking for experts with a Juris Doctor from an accredited U.S. law school, active or inactive Bar admission, and 3+ years of U.S. legal practice in real estate transactions, property litigation, or land use and zoning, along with strong reasoning skills and attention to detail. The commitment is flexible at 10–30 hrs/week for approximately 1 month, with the possibility of extension based on performance and project needs.

Summary written by AI from the original listing.

  • Remote · 10–30 hours a week
  • Posted Apr 22, 2026

About the role

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview

Turing invites Real Estate and Property Law experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in commercial real estate transactions, land use and zoning, title examination, and landlord-tenant disputes to evaluate how AI reasons about property law. If you enjoy analyzing easement disputes, commercial lease negotiations, and eminent domain cases, this is your opportunity. No prior AI experience is required — your background in U.S. real estate law is exactly what’s needed.

What Does Day-to-Day Look Like

  • Review and evaluate AI-generated responses to U.S. property law hypotheticals, including commercial purchase agreements, title defects, zoning variances, landlord-tenant disputes, and mortgage foreclosure proceedings.
  • Apply a structured legal rubric to assess issue spotting, accuracy of property doctrines, and proper application of recording statutes, the Rule Against Perpetuities, and state landlord-tenant codes.
  • Identify gaps in AI reasoning around concurrent estates, easements, restrictive covenants, constructive eviction, and 1031 exchange structuring.
  • Provide detailed, high-quality annotations and written feedback to refine AI models.
  • Collaborate with researchers and project managers to align evaluation standards and project goals.

Requirements

  • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive).
  • 3+ years of U.S. legal practice in real estate transactions, property litigation, or land use and zoning.
  • Strong reasoning skills across property law doctrines, commercial leasing, title insurance, and real estate finance.
  • Excellent written communication and attention to detail.
  • High ethical standards; interest in AI is a plus.

Perks of Freelancing with Turing

  • Opportunity to work on cutting-edge AI projects with leading LLM companies.
  • Competitive compensation.
  • Flexible, fully remote work arrangement.
  • Learn how to use AI to advance the legal field.

Offer Details

  • Commitment: Flexible, 10–30 hrs/week.
  • Duration: ~1 month, with the possibility of extension based on performance and project needs.

Skills

Critical ThinkingProblem Solving
Applicant countries
Open to US residents

This remote listing states no location restriction, so US residents can apply. Check the original listing for other requirements.

Work arrangement
Remote
Advertised job location
Not specified
Originally posted
2026-04-22
Last checked

How this pay compares

Law: typical hourly pay on each platform, November 2026.

Typical across platforms $110/hr USD

  • micro1$125/hr USD62 rolesMiddle half of roles: $76–$270/hr USD
  • Mercor$105/hr USD17 rolesMiddle half of roles: $90–$118/hr USD
  • Alignerr$30/hr USD7 rolesMiddle half of roles: $30–$85/hr USD
  • Meridial$45/hr USD6 rolesMiddle half of roles: $36–$61/hr USD
  • SME Careers$113/hr USD8 rolesMiddle half of roles: $99–$120/hr USD
  • Alpheva$188/hr USD10 rolesMiddle half of roles: $178–$201/hr USD

Based on 115 hourly-paid roles listed in November 2026. Per-task and project rates are not included. Each platform sets its own pay.

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