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Remote Data Collection Driver Jobs in Sarasota, FL

Graphic Designer

Palmetto, FL ยท Remote

$55/hr

Company Description A platform for underwater coral reef data collection and analysis. Are you a ... Location: Remote * Monthly hours: up to 50/month (can be worked on a flexible basis as long as ...

Crew Chief

Bradenton, FL ยท Remote

$24 - $30/hr

A valid Driver's License and a driving record that meets insurance requirements. * Proficiency in ... Capability to operate instruments necessary for survey data collection or distribution, such as ...

Senior Plumbing Designer

Sarasota, FL ยท On-site +1

$98K - $105K/yr

Open to Remote option for Orlando Candidates Key Responsibilities: * Processes drawings received ... May assist or supervise in data collection and/or field verification * May hold project manager ...

Program Finance Analyst 3

Saint Petersburg, FL ยท On-site +1

$82K - $220K/yr

Provides the financial data inputs, analysis, and applicable variance narrative for Program ... Remote Job Location - State: Minnesota Job Location - Postal Code: 55101 The US base salary range ...

Project Engineer - Water Resources

Sarasota, FL ยท On-site +1

$76K - $104K/yr

... remote locations, develop renewable energy solutions for global projects, or apply data-driven ... Must possess a valid driver's license and maintain a clean driving record; position requires ...

Project Engineer - Water Resources

Sarasota, FL ยท On-site +1

$76K - $104K/yr

... remote locations, develop renewable energy solutions for global projects, or apply data-driven ... Must possess a valid driver's license and maintain a clean driving record; position requires ...

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Remote Data Collection Driver information

See Sarasota, FL salary details

$15

$24

$30

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

As of Aug 8, 2026, the average hourly pay for remote data collection driver in Sarasota, FL is $24.39, according to ZipRecruiter salary data. Most workers in this role earn between $22.45 and $25.00 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 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 popular job titles related to Remote Data Collection Driver jobs in Sarasota, FL? For Remote Data Collection Driver jobs in Sarasota, FL, the most frequently searched job titles are:
What job categories do people searching Remote Data Collection Driver jobs in Sarasota, FL look for? The top searched job categories for Remote Data Collection Driver jobs in Sarasota, FL are:
What cities near Sarasota, FL are hiring for Remote Data Collection Driver jobs? Cities near Sarasota, FL with the most Remote Data Collection Driver job openings:
Infographic showing various Remote Data Collection Driver job openings in Sarasota, FL 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 $50,731 per year, or $24.4 per hour.

Director of Data Center

Imagine Staffing Technology

Saint Petersburg, FL โ€ข Remote

$170K - $200K/yr

Full-time

Posted 28 days ago


Job description

Job Title: Director of Data Strategy and Services
Location: St. Petersburg, FL
Hire Type: Direct Hire
Pay Range: $170,000 - $200,000
Work Type: Full-time
Work Model: Remote
Work Schedule: Monday – Friday, 8am – 5pm
Recruiter Contact: Sean Pebbles | 716.256.1259 | spebbles@imaginegroup.com
Nature & Scope:
Positional Overview
The Imagine Group is recruiting for a Director of Data Strategy and Services on behalf of our client, a leading provider of cloud-based software solutions that empower nonprofit organizations, associations, educational institutions, and mission-driven businesses to streamline operations and strengthen community engagement in St. Petersburg, FL. Through innovative technology and a customer-focused approach, the organization helps clients manage fundraising, membership, events, and financial processes while driving meaningful impact.
In this role you will be responsible for leading the strategic direction, daily operations, and performance of data center infrastructure to ensure the availability, security, and reliability of critical business systems. You will oversee capacity planning, disaster recovery, vendor relationships, and infrastructure projects while partnering with cross-functional teams to optimize operational efficiency, maintain compliance, and support long-term technology initiatives.
Role & Responsibility:
Tasks That Will Lead to Your Success
  • Enterprise Data Architecture & Strategy
  • Architecture Ownership: Own, evolve, and scale the enterprise data architecture supporting all product verticals.
  • Operational Standards: Establish standards, best practices, and repeatable patterns for data ingestion, transformation, and consumption.
  • Roadmap Alignment: Align data strategy directly with internal product roadmaps, engineering timelines, and advanced client analytics needs.
  • Planning & Design: * Define data migration scopes, constraints, historical requirements, and success criteria.
  • Design data mapping, transformation, enrichment, validation, and rollback protocols.
  • Partner with stakeholders to establish testing cycles, cutover plans, and client approvals.
  • Execution & Delivery: Oversee extraction, transformation, and loading (ETL) into test, UAT, and production environments.
  • Lead iterative migration cycles, resolve technical anomalies, and manage post-migration hypercare/remediation.
  • Deliver comprehensive migration completion documentation and client sign-offs.
  • Data Readiness: Assess source data usability; cleanse, normalize, and de-duplicate data sets to make them analytics-ready.
  • Custom Analytics & BI: Translate complex business objectives into custom dashboards, defining metrics, visualizations, filters, and refresh cadences.
  • Strategy Consulting: Advise clients on data collection methodologies (timing, frequency, automation) and practical data governance/stewardship operating frameworks.
  • Help define, manage, and mature the delivery workflows and quality standards associated with the Company’s AI Analytics subscription service offerings.
  • Prescriptive Analytics: Operationalize benchmarking frameworks and peer-group analysis, translating data into executive-ready insights for priority customer segments.
  • Service Commercialization: Track measurable client outcomes to develop case studies; partner with Product, Marketing, and Sales to support go-to-market and thought-leadership activities.
  • Integration Roadmap: Scope, prioritize, and support deal-driven integrations with third-party platforms to enhance workflow analytics.
  • Agentic Capabilities: Contribute to the creation, refinement, and client-facing alignment of agentic roles and AI-enabled capabilities.
  • Org Design: Build out the core Data Strategy & Services operating models, documentation standards, and prioritization frameworks.
  • Legacy Continuity: Maintain high-level Project Manager/Customer Engagement continuity for designated legacy accounts (requirements definition, risk management, internal coordination) during the initial transition framework.
  • Lead the creation and execution of cross-functional and cross-product data best practices.
  • Create and maintain Data COE Playbooks: Recommended operating models, prioritization frameworks, and service definitions for the scaled Data Strategy organization.
  • Create and maintain Technical Checklists: Robust service packages, data migration roadmaps, governance documentation, and architectural mapping guides.
  • Revenue in alignment with commercial targets.
  • Team billable utilization equal to or greater than goal.
  • Client NPS scores equal to or greater than goals.
Skills & Experience
Qualifications That Will Help You Thrive
  • Professional Experience: 7+ years of progressive leadership experience in Data Architecture, Enterprise Analytics, Business Intelligence, or Data Strategy.
  • Migration Domain Expertise: Demonstrated success in structuring and executing complex enterprise data migrations and third-party software integrations.
  • Consulting Background: Previous client-facing professional services or premium data consulting experience is highly preferred.
  • Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Business Administration, or an equivalent technical field.
  • Data management or governance certifications (e.g., DAMACDMP).
  • Core Competencies
  • Advanced Technology Literacy: Strategic understanding of BI tools, ETL architectures, cloud compliance, and modern agentic AI applications.
  • Cross-Functional Influence: Proven ability to partner dynamically across Product, Engineering, Sales, and Customer Success silos to operationalize data products and services.
  • Executive Communication: Exceptional communication, stakeholder management, and narrative-building skills capable of translating complex analytics into clear business actions.