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Remote Data Entry Real Estate Jobs in California

Tailored Brands

Real Estate Director

Dublin, CA · On-site +1

This is a remote role based in the Greater Los Angeles or Bay Area and reports to the Senior Vice ... Data Analytics and FP&A partners. Market plans will include evaluation of existing stores ...

SpaceX

Sr. Real Estate Analyst

Hawthorne, CA · On-site +1

$110K - $150K/yr

Gather real estate market data to facilitate internal recommendations/decisions * Correspond with ... This role requires you to be onsite - remote or hybrid work will not be considered COMPENSATION AND ...

Mercor

Real Estate Broker - AI Consultant

San Francisco, CA · Remote

$90 - $110/hr

Remote Duration: 3-4 weeks Commitment: 30-40 hours/week Role Responsibilities * Create deliverables ... Collaborate with AI research teams to improve training data quality. Qualifications Must-Have * 4+ ...

Showami

Real Estate Showing Agent

Stockton, CA · Remote

$28 - $100/hr

Real Estate Showing Agent - Showami - Stockton, California & Surrounding Areas (we can do this remote so it will work for the state) Position Overview Showami is seeking licensed real estate agents ...

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Remote Data Entry Real Estate information

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$10

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How much do remote data entry real estate jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for remote data entry real estate in California is $19.22, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $21.59 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Entry Real Estate vs Remote Data Entry Administrative?

AspectRemote Data Entry Real EstateRemote Data Entry Administrative
CredentialsBasic data entry skills, familiarity with real estate terminologyBasic data entry skills, general administrative knowledge
Work EnvironmentReal estate platforms, property management systemsOffice software, general business tools
Industry UsageReal estate agencies, property management firmsVarious industries including healthcare, finance, and corporate
Search & Comparison IntentJobs focused on real estate data entry tasksJobs involving administrative data entry across sectors

Remote Data Entry Real Estate and Remote Data Entry Administrative roles share common data entry skills but differ mainly in industry focus and required knowledge. Real estate roles require familiarity with property-related terminology and platforms, while administrative roles are broader and applicable across multiple sectors.

What are some unique challenges faced by remote data entry real estate professionals?

Remote data entry professionals in real estate often face challenges such as managing large volumes of property data with high accuracy while adhering to tight deadlines. Since much of the work is performed independently, it requires strong time management skills and self-motivation. Additionally, coordinating with real estate agents, brokers, and other team members virtually can make communication and clarification of details more complex. Staying organized and using industry-specific software efficiently are key to overcoming these challenges and ensuring data integrity.

What is a remote data entry real estate professional?

A Remote Data Entry Real Estate job involves inputting, updating, and managing property data for real estate companies or agents, all while working from a remote location. Responsibilities typically include entering listings, updating transaction details, maintaining client databases, and ensuring information accuracy. This role supports real estate operations by keeping digital records organized and accessible, often using specialized software. Strong attention to detail, proficiency with spreadsheets or database programs, and the ability to work independently are important for success in this position.

What skills and qualifications are needed to thrive as a remote data entry real estate professional?

To thrive as a Remote Data Entry Real Estate professional, you need strong attention to detail, fast and accurate typing skills, and familiarity with real estate terminology, typically supported by a high school diploma or equivalent. Proficiency in spreadsheet software (like Microsoft Excel or Google Sheets), customer relationship management (CRM) platforms, and document management systems is often required. Excellent time management, reliability, and the ability to work independently are standout soft skills in this role. These competencies ensure data integrity, support timely real estate transactions, and contribute to the overall efficiency of remote teams.
What are popular job titles related to Remote Data Entry Real Estate jobs in California? For Remote Data Entry Real Estate jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Entry Real Estate jobs in California look for? The top searched job categories for Remote Data Entry Real Estate jobs in California are:
What cities in California are hiring for Remote Data Entry Real Estate jobs? Cities in California with the most Remote Data Entry Real Estate job openings:
Remote Data Entry Real Estate jobs near you
Infographic showing various Remote Data Entry Real Estate job openings in California as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $39,974 per year, or $19.2 per hour.

Real Estate Data Scientist - Remote

Harbor Freight Tools

Calabasas, CA • On-site, Remote

$98K - $147K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Job description

The Real Estate Data Scientist is responsible for developing advanced analytical models and data-driven tools that support strategic real estate decisions across the organization. This role partners closely with Real Estate, Finance, Marketing, and Supply Chain teams to deliver predictive insights related to site selection, network optimization, sales forecasting, and market planning. This role incorporates advanced spatial modeling, geostatistics, and geospatial data engineering to evaluate trade areas, quantify market potential, and optimize network performance.
This position combines strong statistical modeling, data engineering, and business acumen to translate complex data into actionable recommendations. The Real Estate Data Scientist plays a critical role in advancing the organization's use of machine learning, automation, and predictive analytics to improve decision quality and scalability. This is a senior individual contributor role with no direct people management responsibility.
Duties and Responsibilities
  • Advanced Analytics & Predictive Modeling
    • Develop and deploy predictive models for site selection, sales forecasting, cannibalization, and market potential.
    • Build and maintain machine learning models using regression, classification, clustering, optimization, and spatial modeling techniques.
    • Apply spatial statistical methods (e.g., spatial regression, geographically weighted regression, spatial autocorrelation) to capture geographic variation in demand drivers.
    • Develop trade area and customer draw models (e.g., Huff/gravity models) to estimate market share and competitive impact.
    • Incorporate spatial features such as proximity, co-tenancy, demographics, traffic patterns, and nearby store performance into predictive models.
    • Design methodologies for forecasting store performance under various scenarios, including spatial and competitive effects.
    • Continuously monitor and improve model performance and accuracy. 
  • Data Engineering & Automation
    • Design scalable data pipelines integrating real estate, customer, demographic, sales, and geospatial datasets (parcel, census, traffic, mobility, POI data).
    • Perform geospatial data processing including geocoding, spatial joins, coordinate transformations, and spatial indexing (e.g., H3 or similar frameworks).
    • Write efficient SQL and Python workflows to automate recurring analyses, spatial feature engineering, and model refreshes.
    • Ensure data quality, consistency, and reproducibility across analytical outputs, including alignment of spatial boundaries and geographic hierarchies.
  • Real Estate Strategy & Decision Support
    • Partner with Real Estate teams to support site selection, market entry, relocations, and closures.
    • Develop drive-time and network-based trade area analyses to assess accessibility and market reach.
    • Conduct market coverage and white space analysis to identify expansion opportunities and underserved areas.
    • Build location-allocation and network optimization models to determine optimal site placement.
    • Quantify cannibalization and competitive effects using spatial overlap and proximity-based modeling.
    • Provide quantitative insights for Real Estate Committee (REC) evaluations and executive decisions.
    • Develop scoring frameworks and decision tools to prioritize opportunities.         
  • Visualization & Communication
    • Create clear, compelling visualizations and dashboards (Tableau, Power BI, or similar) to communicate insights.
    • Develop interactive geospatial visualizations including trade area maps, performance heatmaps, and market opportunity analyses.
    • Present analytical findings and recommendations to senior leadership and non-technical stakeholders.
  • Experimentation & Innovation
    • Design and execute experiments (A/B tests, quasi-experimental designs) to evaluate real estate strategies.
    • Implement geo-based testing frameworks (e.g., test vs. control markets) to measure impact of site decisions.
    • Apply causal inference methods (e.g., difference-in-differences, synthetic control) accounting for geographic spillovers.
    • Explore new data sources (e.g., mobility, foot traffic) and modeling techniques to enhance predictive capabilities.
    • Contribute to building a best-in-class real estate analytics capability.
  • Cross-Functional Collaboration
    • Work closely with GIS, Data Engineering, Finance, Marketing, and IT teams to align data and models.
    • Partner with GIS teams to ensure alignment between spatial analysis, mapping, and production data pipelines.
    • Translate business problems into analytical solutions and actionable insights.
Scope
  • Staff supervision and development:  No
  • Decision making: 
    • Develops models and analytical frameworks used in strategic decision-making
  • Travel:  Up to 10%
  • Flex Designation:  Anywhere

The anticipated salary range for this position is $98,500-$147,800 depending on location, knowledge, skills, education and experience. This position is also eligible for an annual discretionary bonus. In addition, we offer comprehensive and competitive benefits to Associates (and their families) such as medical, dental, vision, life insurance, short-term and long-term disability. Eligible Associates are able to enroll in our company's 401k plan. Associates will accrue paid time off up to 236 hours per year (inclusive of PTO, floating holidays, and paid holidays). Paid sick time up to 80 hours per year unless otherwise required by law.

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