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Remote Data Collection Driver Jobs in Sunnyvale, CA

Our adversarial red teaming, model evaluations, and intelligence collection enable engineering ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Data Scientist

San Francisco, CA · On-site +1

$194K/yr

Participate in the end-to-end ML pipeline, spanning from data collection to model deployment. This ... Position is 100% remote. Salary: $194,834 per year. Requirements: * Master's degree in Data Science ...

This is a remote position. Duties * Support production systems and help triage issues during live sporting events * Architect low-latency, real-time analytics systems including raw data collection ...

This is a remote position. Duties * Support production systems and help triage issues during live sporting events * Architect low-latency, real-time analytics systems including raw data collection ...

Redwood City, CA or Remote Primary Responsibilities * Own EHR data extraction specifications for ... Contribute to the design of data collection strategies for future real-world evidence studies and ...

Redwood City, CA or Remote Primary Responsibilities * Own EHR data extraction specifications for ... Contribute to the design of data collection strategies for future real-world evidence studies and ...

Redwood City, CA or Remote Primary Responsibilities * Own EHR data extraction specifications for ... Contribute to the design of data collection strategies for future real-world evidence studies and ...

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation -- delivering the datasets that frontier AI research requires and remote ...

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Remote Data Collection Driver information

See Sunnyvale, CA salary details

$18

$29

$37

How much do remote data collection driver jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for remote data collection driver in Sunnyvale, CA is $29.70, according to ZipRecruiter salary data. Most workers in this role earn between $27.36 and $30.48 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Collection Driver vs Field Data Collector?

AspectRemote Data Collection DriverField Data Collector
CredentialsDriver's license, possibly a background checkSimilar credentials, often including a valid driver's license
Work EnvironmentPrimarily remote, traveling between locations, often using a vehicleOn-site at data collection points, often in various field locations
Employer & IndustryResearch firms, survey companies, market researchResearch organizations, government agencies, market research

The Remote Data Collection Driver and Field Data Collector roles share similarities in credentials and industry usage. The main difference lies in the work environment: Remote Data Collection Drivers primarily travel between locations using a vehicle, often working remotely, while Field Data Collectors typically work on-site at specific locations. Both roles are essential for gathering data in research and market analysis, but their daily tasks and settings differ significantly.

What are some common challenges faced by Remote Data Collection Drivers, and how can they be addressed?

Remote Data Collection Drivers often encounter challenges such as navigating unfamiliar routes, dealing with varied weather conditions, and ensuring data accuracy while on the move. To overcome these, drivers should familiarize themselves with route planning tools, maintain regular communication with their support team, and follow best practices for data verification. Staying organized and proactive helps ensure data is collected efficiently and safely, and most companies provide training and support to help drivers handle these challenges.

What are Remote Data Collection Drivers?

Remote Data Collection Drivers are professionals who operate vehicles equipped with specialized sensors or devices to gather data for various purposes, such as mapping, traffic analysis, or infrastructure assessment. Unlike traditional drivers, their primary responsibility is to follow predetermined routes while ensuring accurate data collection, often working independently and reporting findings digitally. This role may include using GPS equipment, cameras, or other technology to record information, and it often allows for flexible or remote scheduling. Remote Data Collection Drivers are typically employed by companies involved in geographic information systems (GIS), urban planning, or autonomous vehicle development.

What are the key skills and qualifications needed to thrive as a Remote Data Collection Driver, and why are they important?

To thrive as a Remote Data Collection Driver, you need a valid driver's license, a clean driving record, and strong navigation skills, often supported by familiarity with GPS and mapping technologies. Proficiency with mobile data collection devices, onboard cameras, and reporting software is typically required. Attention to detail, reliability, and strong time management help ensure accurate data collection and adherence to schedules. These skills are crucial for safely and efficiently gathering high-quality geographic or survey data to support organizational needs.
What are popular job titles related to Remote Data Collection Driver jobs in Sunnyvale, CA? For Remote Data Collection Driver jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Collection Driver jobs in Sunnyvale, CA look for? The top searched job categories for Remote Data Collection Driver jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Remote Data Collection Driver jobs? Cities near Sunnyvale, CA with the most Remote Data Collection Driver job openings:
Infographic showing various Remote Data Collection Driver job openings in Sunnyvale, CA as of July 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $61,781 per year, or $29.7 per hour.

Data Engineer, Web Scraping

10a Labs

San Francisco, CA • Remote

$105K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago


Job description

About 10a Labs: 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely.

In this role, you will:

  • Design, implement, and optimize end-to-end data pipelines for scraping and processing structured and unstructured data using Google Cloud Platform (or similar) and best practices; 
  • Conduct ad hoc web scraping and data collection to support research and intelligence initiatives;
  • Prepare data for further analysis, including data cleaning, transformation, anonymization, and masking;
  • Contribute to the development of internal and external APIs, following best practices; 
  • Collaborate with ML engineers, other data engineers, and software developers to deliver actionable insights and functional tools, including internal and external dashboards, APIs, and data dumps; and 
  • Drive other critical initiatives. 

Requirements:

  • Degree (or equivalent work experience) in Computer Science, Engineering, Information Science, Data Science or a related field (graduate degree preferred)
  • 2+ years of professional experience in data engineering or a closely related field
  • Ability to communicate complex technical ideas clearly to non-technical audiences
  • Proficiency in Python, SQL
  • Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy)
  • Experience with Google Cloud Platform (or similar), including storage and database services (e.g., Cloud Storage, CloudSQL, Cloud Spanner) and workflow orchestration (e.g., Cloud Composer/Airflow, Cloud Run, Pub/Sub)
  • Experience building and managing data pipelines, especially for text data
  • Comfort working in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams

Compensation & Benefits:

  • Salary Range: $105K–$125K, depending on experience and location
  • Bonus: Performance-based annual bonus
  • Professional Development: Support for conferences, continuing education, or leadership training
  • Work Environment: Fully remote, U.S.-based
  • Health Benefits: Comprehensive health, dental, and vision coverage
  • Time Off: Generous PTO and paid holiday schedule

Retirement: 401(k) plan