Real Estate AI Training Specialist — Task Creation & Model Evaluation (Contract)
Real Estate AI Training Specialist — Task Creation & Model Evaluation (Contract) is an open role at Rise Data Labs, available remotely.
Applications open on Rise Data Labs’s own site. How we make money.
About this role
About Rise Data Labs Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation. Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including real estate, property management, and leasing. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.Job Overview As a Real Estate AI Training Specialist at Rise Data Labs, you will play a crucial role in training and enhancing AI models specifically tailored for the real estate domain. This role centers on benchmark task creation and evaluation: you'll author realistic, economically valuable real estate tasks and rubrics grounded in your own professional experience, then grade AI-generated deliverables against them.What You'll DoAuthor task scenarios grounded in real work — e.g., drafting a listing presentation, analyzing a lease or purchase agreement, preparing a property management report, or writing client correspondenceContribute realistic reference materials (lease documents, comps, property reports)Write detailed rubrics describing what a client-ready deliverable should includeGrade AI-generated deliverables (often Word documents, reports, or spreadsheets) against your rubric and professional judgmentTake part in calibration sessions with other evaluators to align scoring standardsPreferred QualificationsActive or former experience as a Real Estate Agent, Broker, Property Manager, or Leasing ProfessionalPrior hands-on experience drafting listings, leases, or client-facing real estate documentsStrong writing and document review skillsPrior experience with AI model training, evaluation, or benchmark development is a plusWhat We Offer At Rise Da
Pay
Not disclosed
Rise Data Labs doesn’t publish a rate for this listing - it isn’t missing from our data.
About Rise Data Labs
Rise Data Labs's connection to Rise Data Labs: Direct AI training data platform. Data labeling, RLHF, text/image/audio/video annotation
Ownership confidence: Confirmed. See the full network profile →
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Frequently asked questions
How do I apply for the Real Estate AI Training Specialist — Task Creation & Model Evaluation (Contract) role at Rise Data Labs?
Applications go through Rise Data Labs's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Rise Data Labs's access model is "Open / self-serve" (Open application). This listing was first seen here on July 30, 2026 and was still live at the last check.
Is the Real Estate AI Training Specialist — Task Creation & Model Evaluation (Contract) role at Rise Data Labs remote?
Yes - Rise Data Labs lists this role as remote.
What does the Real Estate AI Training Specialist — Task Creation & Model Evaluation (Contract) role at Rise Data Labs pay?
Rise Data Labs doesn't state a rate on this listing. HumanSourcer never fills that gap with an estimate, so the absence is the source's, not a hole in this page. Rise Data Labs's profile shows what its rate-carrying listings do advertise.
What kind of work is Real Estate AI Training Specialist — Task Creation & Model Evaluation (Contract)?
AI model evaluation. Data labeling, RLHF, text/image/audio/video annotation
Is Rise Data Labs a legitimate AI-training platform?
Direct AI training data platform - and that relationship is rated "Confirmed" here because it can be checked against www.risedatalabs.com rather than taken on Rise Data Labs's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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