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Remote Data Collection Driver Jobs in California

Eocene Environmental Group

$23 - $27/hr

COMPENSATION: $23.00 to $27.00 an hour LOCATION: 100% Remote Position. Must be a resident of ... Meet with client to outline and implement data collection/reporting changes * Ability to plan ...

New

Kings View

EHR Data Systems Analyst II

Fresno, CA · On-site +1

$33.80 - $35.86/hr

Design, develop, and maintain custom reports, dashboards, queries, and data collection tools ... remote work environment and requires frequent use of computers, phones, and standard office ...

New

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82.57K - $127.49K/yr

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Building tools to automate data collection * Develop custom data models and algorithms to apply to ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Building tools to automate data collection * Develop custom data models and algorithms to apply to ...

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Remote Data Collection Driver information

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 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 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 the most commonly searched types of Data Collection Driver jobs in California? The most popular types of Data Collection Driver jobs in California are:
What are popular job titles related to Remote Data Collection Driver jobs in California? For Remote Data Collection Driver jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Collection Driver jobs in California look for? The top searched job categories for Remote Data Collection Driver jobs in California are:
What cities in California are hiring for Remote Data Collection Driver jobs? Cities in California with the most Remote Data Collection Driver job openings:
Remote Data Collection Driver jobs near you
Senior Staff Data Scientist, Perception

Senior Staff Data Scientist, Perception

Waymo

Mountain View, CA • On-site, Remote

$298K - $368K/yr

Other

Posted 26 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

This role is part of Waymo's Perception Development Foundations (PDF) team. The PDF team's mission is to accelerate improvements to Waymo's Perception system by providing teams with cutting-edge Data, Model Development tools, and Evaluation frameworks. We focus on removing toil, increasing automation, and enhancing how models use data and how we measure performance.

In this hybrid role, you will report to a director of engineering.

You will:

  • Define and own the overarching vision and multi-year strategy for determining the size, composition, and collection methods for datasets used in Perception model training and evaluation.

  • Drive the design and organizational adoption of frameworks to estimate data needs based on model performance, scaling laws, generalization goals, and a deep understanding of the diversity in new geographies.

  • Define and refine strategies for Perception evaluation datasets, ensuring they provide sufficient coverage and statistical power to measure progress and de-risk new deployments.

  • Collaborate closely with Perception engineers, ML researchers, the Labeling organization, and Operations teams to translate strategic recommendations into actionable labeling plans.

  • Analyze existing data sources to identify structural gaps, biases, and opportunities for more efficient data utilization.

  • Establish and champion data-driven best practices for dataset design and data quality within the Perception organization, driving operational maturity.

  • Establish the impact of the Data Science function within Perception as a hands-on IC, followed by building a small team.

You have:

  • BS/MS and 10+ years of industry experience, or PhD + 8 years of industry experience in Statistics, Mathematics, Physics, Economics, Engineering, Computer Science, or a related quantitative field.

  • 8+ years of experience using analytics, statistical modeling, and machine learning to solve complex product, business, or autonomous systems problems.

  • 5+ years of experience in coding (e.g., Python, R, SQL), querying databases, and statistical analysis.

  • Proven ability to lead and deliver on highly ambiguous, high-impact technical projects in a self-directed environment.

  • Strong communication and collaboration skills, with a track record of influencing cross-functional teams and senior leadership.

We prefer:

  • Experience applying statistical and machine learning techniques to large-scale datasets.

  • 6+ years of experience leading data analytics or data science initiatives, including defining strategy, roadmaps, and building functions from the ground up.

  • Deep experience with data collection strategies, experimental design, sampling methodologies, and causal inference.

  • A track record of mentoring other Data Scientists and driving adoption of new methods across an entire organization.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$298,000—$368,000 USD

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