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Remote Data Collection Driver Jobs in California

Mercor

Chief Data Scientist

San Francisco, CA · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on ... Prior experience with data annotation , labeling, evaluation, or human feedback collection.

Catasys Health

Data Architect- REMOTE

Santa Monica, CA · On-site +1

$71.50 - $92/hr

... collection. You will display the ability to be a critical thinker and tackle problems by first ... You will be responsible for all phases of new data solution implementation displaying the ability ...

Catasys Health

Data Architect- REMOTE

Santa Monica, CA · Remote

$71.50 - $92/hr

... collection. You will display the ability to be a critical thinker and tackle problems by first ... You will be responsible for all phases of new data solution implementation displaying the ability ...

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 ...

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Remote Data Collection Driver information

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 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

Operations Analyst (Contract to Hire) - Remote

DivIHN

San Diego, CA • On-site, Remote

Contractor

Re-posted 7 days ago

Job description

For further inquiries about this opportunity, please contact one of our Talent Specialists, Remy at (224) 394 4902 (or) Ragu at (630) 847 0953 (or) Hema at (630) 847 0275 (or) Justeen at (224) 394-4903
Title: Operations Analyst (Contract to Hire) - Remote
Location: Remote (Preferred PST Time Zone), preferably within 100 miles of San Diego, CA
Duration: 6 Months
Hours: 8 AM - 5 PM PST
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered
Description:
  • The main function of a Developer is to design, develop, and implement applications using general languages and technologies (e.g. - C#, C++, HTML) to support business requirements.
  • Looking for candidates with backgrounds as SQL Data Analyst, or Database Engineer or Business intelligence Analyst
  • Partner with business owners and technical peers to in-take requests, develop analytical proposals/solutions, and document processes
  • Maintain, build, and optimize data warehouse, automatized data flow, and analytics "as-a-service" environment
  • Have Business Intelligence experience in data collection, aggregation, analysis, visualization, productionization, data enrichment and storytelling
  • Drive and implement automation to empower the organization to scale efficiently and with flexibility
  • Report out on proposals, roadmaps, solutions, and project updates to leaderships on regular basis
  • Strong attention to detail, necessary to deliver high quality analytics and reports to leadership
  • Analyze highly complex business requirements; generate technical specifications to design or redesign complex software components and applications.
  • Act as an expert technical resource for modeling, simulation and analysis efforts Leverage industry best practices to design, test, implement and support a solution.
  • Assure quality, security and compliance requirements are met for supported area.
  • Be flexible and thrive in an evolving environment.
  • Adapt to change quickly and adjust work accordingly in a positive manner.

Qualifications:
  • Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
  • 5-7 years experience required.
  • Development experience in needed language or technology (e.g. - C#, C++, HTML).
  • Hands on experience in designing, developing and successful deployment of large scale projects from end-to-end Hands on experience in following the iterative and agile SDLC.

Required Skills (top 3 non-negotiables):
  • 2+ years of working experience with Tableau
  • 2+ years of working experience with SQL and database management, Database Analyst, or Database Engineer or Business intelligence
  • Strong analytical experience with databases in writing queries, query optimization, debugging, user-defined functions, views, indexes etc
  • Strong SQL expertise is the primary requirement, including:
    o Query writing and optimization
    o Performance tuning
    o Debugging and troubleshooting
    o User-Defined Functions (UDFs), Views, and Indexes
  • Minimum 2+ years of Tableau experience.
  • Experience with data warehousing, reporting, and business intelligence environments.

Preferred Skills (nice to have)
  • Preferred industry background: Pharmaceuticals, Healthcare, Life Sciences.
  • AWS and GitHub experience are nice to have.
  • Strong communication skills and experience working with business stakeholders are required.

Apply