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Remote Data Collection Driver Jobs in San Ramon, CA

Firecrawl

Backend Infrastructure Engineer

San Francisco, CA · On-site +1

$200K - $250K/yr

Build and maintain the infrastructure that powers reliable data collection at scale * Improve ... Remote-friendly, and we'll flex around your current commitments. Decision - We move fast after the ...

HumanSignal

Delivery Lead

San Francisco, CA · Remote

$110K - $140K/yr

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 ...

Nourish

Research Associate

San Francisco, CA · On-site +1

... data collection, and helping translate research plans into published outputs and high-impact ... This role is full-time and open to NYC-based or remote candidates. Our office is located in ...

Institute for Curriculum Services

Lead Editor

Berkeley, CA · Remote

$90K - $104K/yr

Remote, within the contiguous United States Compensation: $90,500-$104,000 Reports to: Editorial ... Experience working with or developing rubrics, evaluation frameworks, or data collection tools to ...

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All JobsData Collection Driver JobsRemote Data Collection Driver JobsRemote Data Collection Driver Jobs in San Ramon, CA

Remote Data Collection Driver information

See San Ramon, CA salary details

$17

$28

$35

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

As of Jul 16, 2026, the average hourly pay for remote data collection driver in San Ramon, CA is $28.28, according to ZipRecruiter salary data. Most workers in this role earn between $26.06 and $28.99 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 San Ramon, CA? For Remote Data Collection Driver jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Collection Driver jobs in San Ramon, CA look for? The top searched job categories for Remote Data Collection Driver jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Remote Data Collection Driver jobs? Cities near San Ramon, CA with the most Remote Data Collection Driver job openings:
Remote Data Collection Driver jobs near you
Infographic showing various Remote Data Collection Driver job openings in San Ramon, CA as of July 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $58,826 per year, or $28.3 per hour.
Senior Systems Engineer, Cameras/Imaging [Remote]

Senior Systems Engineer, Cameras/Imaging [Remote]

DigitalFish, Inc

Sunnyvale, CA • On-site, Remote

$145K - $170K/yr

Full-time

Medical, Dental, Vision, Life

Posted 8 days ago

Job description

Our mission at DigitalFish is to help our customers derive transformative value across their organizations by building next-generation technologies that define the future of digital-media creation and consumption for millions of users.
We have partnered with leading digital media companies, and are at the center of their efforts to build a new generation of platforms and experiences. Current and past customers include Apple, Google, Meta, Disney, DreamWorks, Activision, Technicolor, ESPN, LEGO, NASA and many others.
THE ROLE
As part of a small and dynamic team, you'll play a pivotal role in advancing imaging technology for camera capture while developing end-to-end high fidelity, high accuracy, and photo reality camera simulator. The scope of these projects will encompass collaborating with camera architects and other teams such as systems, optics, algorithm development and IQ team, to execute, validate and improve camera simulation for purposes like architecture validation and component down selection.
WHAT YOU'LL DO
  • Develop, validate, and execute state-of-the-art imaging software simulation tools to enable novel camera HW explorations, machine learning dataset generation, and product architecture tasks for consumer products
  • Investigate latest imaging simulation methods (e.g. ISET, ZEMAX, non-sequential ray tracing) to enable realistic simulation of real camera behavior for architecture, algorithms, and image quality development for consumer mobile products
  • Experiment and data collection to validate simulator accuracy and to improve simulator modeling capability and efficiency
  • Build and bring up lab setups for image data acquisition of camera prototypes to support camera design studies. Operate, calibrate, and perform routine maintenance of lab equipment
  • Develop and document camera test methodologies to support 2D/3D camera system performance analysis
  • Develop and debug test scripts for image data collection automation
  • Processing, analysis and organizing measurement data; presentation of initial analysis
  • Drive supplier interaction and management to deliver camera prototypes in support of concept demonstrations

WHO YOU ARE
  • MS/PhD degree in Computer Science, Imaging Science, Image Processing, Computer Vision, or related fields
  • Knowledge of image formation process (spectrum, optics/aberrations, PSF, sensor noise, Fourier theory, sampling/aliasing) needed to successfully model and simulate complex imaging phenomena
  • Experience and knowledge in developing and tuning Image Signal Processing (ISP) pipeline
  • Experiences in image quality testing of camera systems and familiar with image quality metrics and analysis
  • Experience coding in languages such as MATLAB, Python, C/C++, preferably CUDA, design code for efficiency, and target different platforms such as GPU, Cloud, and other
  • Experience coding in MATLAB or Python
  • Hands on experience in the development of lab setups for camera system performance study
  • Experiences in camera calibration and modeling of imaging systems
  • Familiar with image sensor, imaging optics, and image processing algorithms
  • Ability to work with minimal direction and managing a project independently from start to finish
  • Proof of eligibility to work in the United States

COMPENSATION & BENEFITS
  • The annual compensation includes equity (per qualifications)
  • The annual salary range for this position is $145,000 to $170,000 plus equity (per qualifications)
  • The base pay offered will take into account internal parity, job-related knowledge, skills, and experience among other factors
  • Health Insurance - Medical, Dental, Vision and Life Insurance
  • Discounts on movie tickets, theme parks, hotels, Broadway and Vegas shows, shopping partners & more
  • Flexible working environment and more!

$145,000 - $170,000 a year
ADDITIONAL INFO
DigitalFish is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined to ensure that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.
DigitalFish may share your personal information and resume with trusted partners only as necessary to help facilitate your employment journey.
DigitalFish is not able to sponsor immigration petitions for this role at this time.
All applicants must have the right to work in the United States.
We look forward to hearing from you!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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