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Real Estate AI Research Contributor

🕒 2 days ago
Real Estate Private EquityReal Estate DevelopmentReitsReal Estate Lending
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📜 Description

  • Write realistic Excel tasks based on real estate work, including extending models, fixing broken models, and building models from a brief.
  • Complete each task to establish a clear, correct answer.
  • Write precise yes-or-no criteria for grading task attempts.
  • Review AI model results and, when they are incorrect, write a detailed rubric with reviewer sign-off.

🛠️ Requirements

  • 3+ years in real estate private equity, development, REITs or real estate lending, covering at least one asset class (office, residential/multifamily, industrial/logistics, retail, hospitality or data centres)
  • Deep hands-on Excel: acquisition and development models, promote waterfalls, circular references, goal seek and financial functions
  • Strong written English communication skills.
  • Attention to detail, and willingness to learn concepts in AI and Evals
  • Create an original task during onboarding, including a brief and the required input workbook or workbooks.

✨ Benefits

  • Flexible schedule
  • Weekly payments following task completion
Full job description

About the Role

Aptura is looking for Subject Matter Experts from real estate investment, development or lending, across any property type, who build acquisition, development and waterfall models in Excel. You have used AI tools on your own work and been frustrated by the mistakes they make. You will turn that experience into realistic Excel tasks that test how well AI does the modelling work of a Real Estate Analyst.

Responsibilities

  • Writing realistic Excel tasks drawn from your own work: extending existing models, fixing broken ones and building from a brief

  • Working through each task yourself so there is a clear, correct answer

  • Writing yes-or-no criteria precise enough that a grader can mark any attempt against them

Necessary Qualifications

  • 3+ years in real estate private equity, development, REITs or real estate lending, covering at least one asset class (office, residential/multifamily, industrial/logistics, retail, hospitality or data centres)

  • Deep hands-on Excel: acquisition and development models, promote waterfalls, circular references, goal seek and financial functions

  • Strong written English communication skills.

  • Attention to detail, and willingness to learn concepts in AI and Evals

Additional Information

  • Start Date : Immediate

  • Duration: Approximately 4–6 weeks

  • Payment: task-based. Experts who complete their first task within the required timeline will then be qualified to do multiple tasks for the remainder of the project.

Contract and Payment Terms

  • You will be engaged as an independent contractor.

  • This is a fully remote role that can be completed on your own schedule.

  • Projects can be extended, shortened, or concluded early depending on needs and performance.

  • Your work at Aptura will not involve access to confidential or proprietary information from any employer, client, or institution.

  • Payments will be weekly following task completion.

Getting Started

  • Apply with your details and CV. Choose an available 30-minute group walkthrough call.

  • Attend the walkthrough and create one original task from your own work. Submit the brief, the actual input workbook(s) needed to complete it. Input-file uploads are compulsory.

  • Write the brief yourself. Input workbooks must also be human-built. Use real data that has been sanitised, or public data with the source named. No AI usage allowed.

  • We run your task against current frontier AI models. If the models get it wrong, you then write a detailed yes-or-no rubric, and a reviewer signs off on the task with you.

  • Completing onboarding does not guarantee a job offer; selection remains subject to written approval of the task proposal.

About Aptura

Aptura is an applied AI and data company working with frontier labs to train AI systems on real professional work. We do this by building high-quality evaluation and training environments that teach AI agents to produce work that can be used in daily workflows.

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