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Remote Temp Data Entry Jobs in California (NOW HIRING)

Birch Gold Group

Operator

Burbank, CA · Remote

Data entry into CRM system * Assist with other related duties as needed Skills Knowledge and ... Work Environment - The working conditions of this position include working in a remote fashion and ...

RDI

Clinical Monitoring Standards Lead

Los Angeles, CA · On-site +1

... data-entry team members. The ideal candidate already knows what that means and has likely built or ... Remote candidates will be considered only if they have a proven method for learning our business ...

Valued Merchant Services

Lead Generator

Los Angeles, CA · On-site +1

Experience using a CRM system for data entry and lead management * Strong research, organization ... Flexible, remote schedule - work from anywhere * Comprehensive training and tools provided * Proven ...

Wood Plc

Project Accountant 1

San Diego, CA · Remote

$65K - $85K/yr

Ensure all data entry documents received are verified and entered into the accounting system weekly ... Project Accounting groups #LI-Remote Skills / Qualifications Skills / Qualifications: * 2+ years ...

Multiverse Logistics LLC

Dispatcher

San Bernardino, CA · On-site +1

$15 - $22/hr

Excellent typing and data entry skills * Microsoft Excel required ( intermediate level ... Ability to work well under pressure This is a remote position. Compensation: $15.00 - $22.00 per ...

Headlands Research

Pharmacy Technician

San Diego, CA · On-site +1

$18.50 - $22.50/hr

... or remote) For experienced Pharmacy Technicians looking for meaningful work in clinical research ... This role may also support administrative and data entry activities related to the conduct of ...

Direct Counsel

Legal E-Billing Coordinator

Los Angeles, CA · On-site +1

$90K - $105K/yr

... and data entry. * Submit appeals or adjustments on short-paid invoices through client portals ... Up to two remote workdays per week. * Comprehensive Benefits: 401(k), profit sharing, full health ...

Direct Counsel

Legal E-Billing Coordinator

Sacramento, CA · On-site +1

$90K - $105K/yr

... and data entry. * Submit appeals or adjustments on short-paid invoices through client portals ... Up to two remote workdays per week. * Comprehensive Benefits: 401(k), profit sharing, full health ...

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All JobsData Entry JobsRemote Temp Data Entry JobsRemote Temp Data Entry Jobs in California

Remote Temp Data Entry information

What are some common challenges faced by remote temp data entry professionals, and how can they be addressed?

Remote temp data entry professionals often encounter challenges such as maintaining focus without in-person supervision, ensuring data accuracy under tight deadlines, and managing communication across different time zones. To address these, it's important to set up a dedicated, distraction-free workspace, use productivity tools to track tasks, and regularly check in with supervisors or team members for clarification and feedback. Staying organized and proactive in communication helps ensure data quality and timely completion of assignments.

What is a remote temp data entry?

A Remote Temp Data Entry job involves entering, updating, and maintaining data in digital systems for a company, all while working from a remote location such as your home. These positions are typically temporary, meaning they last for a specific period or project. Duties often include typing information from various sources into databases, verifying data accuracy, and ensuring confidentiality. Employers may require proficiency with spreadsheets, attention to detail, and reliable internet access. This role is ideal for those seeking flexible, short-term work that can be performed online.

What are the key skills and qualifications needed to thrive as a remote temp data entry professional?

To thrive as a Remote Temp Data Entry professional, you need strong typing skills, attention to detail, and proficiency in basic computer applications, often supported by a high school diploma. Familiarity with spreadsheet software like Microsoft Excel, data management systems, and sometimes specialized data entry platforms is typically required. Strong organizational skills, time management, and reliability set standout candidates apart in this role. These abilities ensure data accuracy, timely completion of tasks, and smooth remote collaboration with teams.

What is the difference between Remote Temp Data Entry vs Remote Temp Data Analyst?

AspectRemote Temp Data EntryRemote Temp Data Analyst
CredentialsBasic computer skills, data entry experienceAdditional analytical skills, possibly a degree in related field
Work EnvironmentHome-based, flexible hoursHome-based, often project-based
Industry UsageAdministrative, healthcare, retailFinance, marketing, research
Search & Comparison IntentJob availability, entry-level rolesData analysis tasks, skill development

Remote Temp Data Entry focuses on basic data input tasks requiring minimal technical skills, ideal for quick, short-term assignments. Remote Temp Data Analyst involves interpreting data, generating reports, and requires more analytical skills. Both roles are flexible, home-based, and often temporary, but differ in complexity and skill requirements.

What are popular job titles related to Remote Temp Data Entry jobs in California?

For Remote Temp Data Entry jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Temp Data Entry jobs in California look for?

The top searched job categories for Remote Temp Data Entry jobs in California are:

What cities in California are hiring for Remote Temp Data Entry jobs?

Cities in California with the most Remote Temp Data Entry job openings:

Remote Temp Data Entry jobs near you
Infographic showing various Remote Temp Data Entry job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Real Estate Data Scientist - Remote

Harbor Freight Tools

Calabasas, CA • On-site, Remote

$98K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 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.
Requirements
Education and Experience
Education Requirements
  • Bachelor's degree in data science, Statistics, Economics, Mathematics, Computer Science, or related field from a nationally recognized institution. Master's degree preferred
Years of Experience
  • 5 to 8 plus years of experience in data science, analytics, or quantitative modeling, preferably in retail, real estate, consulting, or related fields.
Skills
  • Strong proficiency in Python (pandas, scikit-learn, etc.) and SQL for data analysis and modeling.
  • Experience building predictive models and applying statistical techniques to business problems.
  • Experience working with cloud-based platforms (Databricks, Snowflake, Azure)
  • Familiarity with geospatial analysis and GIS concepts, including trade area modeling, spatial statistics, and network-based analysis (experience with ESRI or similar tools preferred).
  • Experience working with large, complex datasets from multiple sources.
  • Experience with BI and visualization tools (Tableau, Power BI, etc.).
  • Strong understanding of experimental design and statistical inference.
  • Ability to communicate complex analyses clearly to non-technical stakeholders.
  • Strong problem-solving skills and business acumen.
Physical Requirements
Corporate - Remote - General office environment requiring ability to:
  • Stand, walk, sit for extended periods of time .
  • Speak and listen to others in person and over the phone and video conferencing.
  • Use keyboard and read from computer screen and reports.
  • The ability to lift up to 15 lbs.
Safety
Must be able to perform this job safely in accordance with standard operating procedures and good manufacturing practices, without endangering the health or safety of self or others.
About Harbor Freight Tools
We're a 45 year-old, $8 billion national tool retailer with the energy, enthusiasm, and growth potential of a start-up. We have over 1,600 stores in 48 states across the country and are opening several new locations every week. We offer our customers more than 7,000 tools and accessories, from hand tools and generators to air and power tools, from shop equipment to automotive tools. We provide our customers with the right tool for the right job at the right price, always delivering quality and value.

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