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Remote Data Collection Driver Jobs in Alameda, CA

HumanSignal

Strategic Projects Lead

San Francisco, CA · Remote

$75K - $110K/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 ...

NCIRE

Staff Research Associate II

San Francisco, CA · On-site +1

Experience with psychophysiological data collection or analysis (e.g., Biopac , LSL , EDA, EMG, HR/HRV, facial coding, or remote PPG from video) is strongly preferred ; enthusiasm for further ...

NCIRE

Staff Research Associate II

San Francisco, CA · On-site +1

Experience with psychophysiological data collection or analysis (e.g., Biopac , LSL , EDA, EMG, HR/HRV, facial coding, or remote PPG from video) is strongly preferred ; enthusiasm for further ...

Collabera

Linguist (Remote)

Burlingame, CA · Remote

$55 - $60/hr

Collaborate with linguists and data operations teams on data collection, curation, and annotation efforts. * Evaluate and curate datasets for Machine Learning models using LLM-based solutions.

New

UpMetrics

Senior Client Manager

San Francisco, CA · Remote

... goals, data collection approaches, and metrics for success - providing guidance on data best ... Remote work equipment * Annual company retreat and quarterly virtual company events * Outstanding ...

UpMetrics

Senior Client Manager

San Francisco, CA · On-site +1

$105K - $130K/yr

... goals, data collection approaches, and metrics for success - providing guidance on data best ... Remote work equipment * Annual company retreat and quarterly virtual company events * Outstanding ...

Planet

Senior Data Visualization Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

... for remote sensing analysis and visual communication to join our team. You will help the Marketing and Communications Teams leverage Planet's platform and collection of imagery and derived data ...

HumanSignal

High Volume (TOFU) Recruiter

San Francisco, CA · On-site +1

$55K - $100K/yr

... data collection and annotation -- delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design ...

Deft AI, Inc.

Systems Engineer

San Francisco, CA · On-site +1

$100K - $200K/yr

... the robot data collection stack. ● Improve reliability and performance across the robotics ... drivers for new sensor suites and in-house hardware modules. ● Contribute to systems that support ...

Dascena

Integration Engineer

Oakland, CA · On-site +1

$119K - $160K/yr

... of data collection. You will use a custom Python-based macro system and write HTML, text, and OCR parsers to interface with it. OCR and web-scraping experience required . This role can be remote.

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All JobsData Collection Driver JobsRemote Data Collection Driver JobsRemote Data Collection Driver Jobs in Alameda, CA

Remote Data Collection Driver information

See Alameda, CA salary details

$18

$28

$35

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

As of Sep 13, 2026, the average hourly pay for remote data collection driver in Alameda, CA is $28.68, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $29.42 per hour, depending on experience, location, and employer.

What is a remote data collection driver?

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?

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 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 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 popular job titles related to Remote Data Collection Driver jobs in Alameda, CA?

For Remote Data Collection Driver jobs in Alameda, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Collection Driver jobs in Alameda, CA look for?

The top searched job categories for Remote Data Collection Driver jobs in Alameda, CA are:

What cities near Alameda, CA are hiring for Remote Data Collection Driver jobs?

Cities near Alameda, 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 Alameda, CA as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $59,660 per year, or $28.7 per hour.

Strategic Projects Lead

San Francisco, CA • Remote

HumanSignal
Software Development • 51 - 200 employees
Learn more about HumanSignalexternal

$75K - $110K/yr

Full-time

Re-posted 18 days ago

Key responsibilities

  • Own end-to-end execution of multi-million-dollar AI data programs, ensuring data quality, throughput, margins, and customer satisfaction.

  • Design and manage data pipelines from customer specifications through final delivery, including taxonomy design, quality frameworks, and incentive structures.

  • Manage and performance-manage 1,000+ distributed contributors by sourcing, vetting, training, and coaching domain experts at scale.

Job description

About HumanSignal

Real-world data is the competitive edge in AI.

HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.


We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.


We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.


If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.

Level: Individual Contributor 
Compensation: $75,000 – $110,000
Location: 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 workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design through final delivery, running on-site and distributed expert workforces across 50+ knowledge domains, 30+ languages, and 75+ countries. Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label Studio Enterprise and built on a foundation of rigorous quality workflows, ethical sourcing, and full data security. This role sits at the operational core of that delivery engine — responsible for ensuring our clients get the highest-quality data on time, every time.

This role is not for everyone. HumanSignal Services operates at the intersection of frontier AI research and large-scale human data delivery — and the work is fast, demanding, and unforgiving of dropped balls. You'll own complex, high-stakes data programs end-to-end, managing expert workforces, navigating shifting customer requirements, and holding quality and delivery timelines simultaneously. There is no playbook handed to you. You will build it, break it, and rebuild it better. If you thrive under pressure, take personal pride in operational excellence, and don't quit when a project gets hard — this is the role for you

What You'll Do

The day-to-day is intense by design. You'll juggle multiple programs at once, each with its own contributors, quality standards, and customer expectations. You'll make hard calls with incomplete information, hold contributors and vendors accountable, and find creative solutions to problems that don't have obvious answers. The expectation is simple: own the outcome, no excuses. High performers here grow faster than anywhere else in the industry. The bar is high — and that's the point.

What You'll Do
  • Own end-to-end execution of multi-million-dollar AI data programs, directly accountable for data quality, throughput, margins, and customer satisfaction
  • Design and manage data pipelines from customer specifications through final delivery, including taxonomy design, quality frameworks, and incentive structures
  • Manage and performance-manage 1,000+ distributed contributors — sourcing, vetting, training, and coaching domain experts at scale
  • Serve as the primary client contact for AI lab researchers: deliver consistent reporting, anticipate needs, and identify opportunities for program expansion
  • Run daily internal war rooms to stay ahead of quality issues, bottlenecks, and delivery risks
  • Partner cross-functionally with Engineering, Product, and Growth to build and improve operational infrastructure
  • Deploy AI automations and data-driven tools to improve output quality and pipeline efficiency
Required Qualifications
  • 2–4+ years in consulting, finance, startups, or operationally intensive roles
  • Strong analytical skills; proficiency in SQL or Python preferred
  • Track record managing complex, cross-functional projects with measurable outcomes
  • Entrepreneurial mindset; comfortable building from scratch in ambiguous environments
  • Exceptional communication skills and client-facing presence
Preferred Qualifications
    • Technical or STEM degree (CS, Data Science, Engineering, or related field)
    • Experience managing distributed workforces or marketplace operations
    • Exposure to AI data, RLHF, or model evaluation workflows
    • Background in investment banking, private equity, or management consulting

HumanSignal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. HumanSignal does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law. We are committed to working with and providing reasonable accommodations to individuals with disabilities.