AI Real Estate Tutor

Mercor; Remote; EUR 76.000 - 171.000; Vollzeit

Zusammenfassung

A leading recruiting firm for AI experts is seeking an AI Real Estate Data Specialist in Berlin, Germany. This full-time role involves utilizing real estate expertise to train AI models through high-quality data insights and evaluations. Ideal candidates will have experience in real estate leasing or related fields, strong analytical skills, and a passion for technology's impact on real estate. Competitive pay ranges from $90,000 to $200,000 annually for U.S.-based candidates, with international compensation available upon request.

Leistungen

Medical benefits

High-impact environment focused on AI innovation

Qualifikationen

• Professional experience in real estate leasing or related fields.
• Strong written and verbal English communication skills.
• Excellent analytical and problem-solving abilities.
• Ability to work independently and adapt to evolving task requirements.
• Passion for innovation in real estate and technology.

Aufgaben

• Label, annotate, and analyze real estate data for AI training.
• Provide input on property valuation, leasing, and market trends.
• Collaborate with teams to refine annotation tools and workflows.
• Ensure data accuracy and consistency.
• Interpret evolving task instructions with attention to detail.

Kenntnisse

Property valuation

Market analysis

Data annotation

Leasing

Negotiation

Ausbildung

Active real estate license or property management certification

Jobbeschreibung

Role Overview

Mercor is partnering with a leading AI research organization to engage professionals with advanced expertise in real estate. This full‑time opportunity invites real estate professionals to help shape next‑generation AI systems by providing high‑quality data insights and evaluations related to property markets valuation and client interactions.

As an AI Real Estate Data Specialist you will play a key role in training AI models to understand the complexities of the real estate industry from market analysis and pricing strategies to leasing and negotiation processes.

You will collaborate closely with technical teams to refine data annotation tools, curate structured datasets and contribute to innovative AI training initiatives. This role requires adaptability, strong analytical thinking and a deep interest in how technology can transform real estate operations.

Key Responsibilities

• Use proprietary software to label, annotate and analyze real estate data for AI training.
• Provide expert input on topics such as property valuation, leasing and market trends.
• Collaborate with research and engineering teams to refine annotation tools and workflows.
• Evaluate complex real estate problems and ensure data accuracy and consistency.
• Interpret evolving task instructions with attention to detail and sound professional judgment.

Ideal Qualifications

• Professional experience in real estate leasing, rentals or related fields (e.g., real estate agent, broker or property manager).
• Strong written and verbal English communication skills.
• Excellent analytical, organizational and problem‑solving abilities.
• Ability to work independently and adapt to evolving task requirements.
• Passion for innovation and the intersection of real estate and technology.

Preferred Background

• Active real estate license or property management certification.
• Experience mentoring or training others in real estate or leasing practices.
• Familiarity with AI tools, data annotation or digital workflows.
• Comfortable recording short audio or video sessions for data collection.

Work Environment

Based in Palo Alto, CA (in‑office 5 days per week) or fully remote with strong self‑management skills.

U.S.-based applicants must reside outside of Wyoming and Illinois.

Typical hours: 9:00 am–5:30 pm PST during training then aligned with your local timezone.

Remote workers must use a personal computer that meets one of the following requirements: a Chromebook, a Mac running macOS 11 or newer, or a Windows PC running Windows 10 or newer.

Reliable smartphone access is required.

Compensation & Benefits

Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals depending on experience and location.

For international candidates compensation ranges are available upon request.

Access to medical benefits subject to your country of residence.

Supportive high‑impact environment focused on advancing AI and real estate innovation.

Application Process

Submit your resume.

Complete a 20‑minute introductory interview.

Selected candidates will move on to a focused real estate data evaluation exercise.

Finalists will participate in a team discussion and review of their expertise.

The full process typically concludes within one week.

About Mercor

Mercor is based in San Francisco, CA and specializes in recruiting experts for top AI labs. Our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers and Jack Dorsey.

Key Skills

EAM, Economics, IT Business Analysis, Information Security, Android Development

Employment Type

Full Time

Experience

years

Vacancy

1