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Data Collection Vehicle Operator Jobs (NOW HIRING)

Data Collection Operator- Raleigh City: Raleigh State/Province: North Carolina Posting Start Date: 7/31/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and ...

$37K/yr

Data Collection Operator- Raleigh City: Raleigh State/Province: North Carolina Posting Start Date: 7/31/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and ...

Role Overview We're hiring data collection operators to support physical AI programs. In this role, you'll operate physical AI data collection systems (via teleoperation tools or guided interfaces ...

The Data Collection Driver serves as a vital member of Summit Utilities' Advanced Leak Detection ... Experience operating commercial vehicles or driving extensively in varying roadway conditions ...

The Data Collection Driver serves as a vital member of Summit Utilities' Advanced Leak Detection ... Experience operating commercial vehicles or driving extensively in varying roadway conditions ...

Fleet Operations Data Collection Duration: 6 Months + Pay Rate: $25 - $30 /hr on W2 Location ... Experience operating Electric Vehicles (EVs). About Us: Founded in 2009, IntelliPro is a global ...

Vehicle Operator

Sunnyvale, CA · On-site

$25 - $30/hr

Fleet Operations Data Collection Duration: 6 Months + Pay Rate: $25 - $30 /hr on W2 Location ... Experience operating Electric Vehicles (EVs). About Us: Founded in 2009, IntelliPro is a global ...

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Data Collection Vehicle Operator information

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$16

$25

$31

How much do data collection vehicle operator jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data collection vehicle operator in the United States is $25.31, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $25.96 per hour, depending on experience, location, and employer.

What is the difference between Data Collection Vehicle Operator vs Data Technician?

AspectData Collection Vehicle OperatorData Technician
CredentialsDriver's license, basic technical knowledgeTechnical certifications, computer skills
Work EnvironmentOutside, operating vehicles, on-site data collectionIndoor, office or lab settings, data analysis
Employer & IndustrySurvey companies, government agencies, utilitiesIT firms, research institutions, data services

The Data Collection Vehicle Operator primarily focuses on operating vehicles for data gathering in outdoor environments, requiring driving skills and basic technical knowledge. In contrast, the Data Technician handles data processing and analysis indoors, often with specialized certifications. Both roles are essential in data-related industries but differ in work setting and skill requirements.

What cities are hiring for Data Collection Vehicle Operator jobs?

Cities with the most Data Collection Vehicle Operator job openings:

What states have the most Data Collection Vehicle Operator jobs?

States with the most job openings for Data Collection Vehicle Operator jobs include:

What are popular job titles related to Data Collection Vehicle Operator jobs?

For Data Collection Vehicle Operator jobs, the most frequently searched job titles are:

Infographic showing various Data Collection Vehicle Operator job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $52,640 per year, or $25.3 per hour.

Data Collection Operator

San Diego, CA • On-site

Welocalize, Inc.
Translation Services • 1 - 5K employees

Full-time

Posted 10 days ago


Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

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Job Responsibilities:

We're hiring data collection operators to support physical AI programs. In this role, you'll operate physical AI data collection systems (via teleoperation tools or guided interfaces) to generate high-quality real-world data used to train and evaluate AI models.
This is hands-on, execution-focused work. You'll be working with real hardware in structured environments, following defined scenarios, and helping produce the data that directly shapes how physical AI devices learn and perform.What You'll Do
  • Operate physical AI data devices
  • Execute structured tasks (e.g., navigation, pick/place, object interaction) across different environments
  • Follow detailed instructions and adapt to evolving guidelines
  • Capture and validate data (video, sensor inputs, task logs) during operation
  • Identify and flag edge cases, failures, or unexpected system behavior
  • Maintain consistency and accuracy across repeated task runs
  • Partner with onsite teams (engineering, QA, program leads) to improve workflows
  • Support fast iteration cycles as tasks, tools, and priorities evolve

Additional Job Details:

What Good Looks Like
  • High consistency and repeatability across tasks
  • Strong attention to detail and ability to follow structured instructions
  • Comfortable learning new tools and working with physical systems
  • Good judgment in identifying issues and escalating clearly
  • Reliable in fast-paced, changing environments
Basic Qualifications
  • Bachelor's degree or equivalent work experience
  • Experience with gaming, simulation tools, or technical systems is a plus
  • Strong hand-eye coordination and spatial awareness
  • Comfortable using controllers, keyboards, or specialized interfaces for extended periods
  • Basic computer skills, including PC and Linux troubleshooting.
  • Working knowledge of MS Office and Google Drive
  • Ability to follow detailed procedures with high accuracy
  • Clear written and verbal communication skills
Preferred Qualifications
  • Exposure to robotics, autonomous systems, drones, or simulation environments
  • Experience with teleoperation, remote control systems, or QA/testing workflows
  • Familiarity with data collection, logging, or annotation processes
  • Ability to quickly learn new software applications
  • Interest in AI, robotics, or emerging technologies
  • Experience working in structured, metrics-driven environments
Work Environment & Physical Requirements
  • Onsite lab environment (robotics lab, warehouse, or simulated real-world setup)
  • Must be able to stand for extended periods during shifts
  • Must be able to occasionally lift and/or move up to 75lbs
  • Repetitive task execution with a focus on consistency and quality
  • Fast-paced environment with frequent updates to tasks and workflows
Why This Role Matters

The data generated in this role directly impacts how physical AI systems learn to operate in the real world. Strong execution here leads to better, safer, and more reliable autonomous systems.


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