1

Data Collection Operator Jobs (NOW HIRING)

Be Seen First

Execute indoor and outdoor user-study data collection sessions as per protocols. Support participant-session readiness, sensor/device calibration coordination, data offloads, platform validation ...

Experience operating robots * Experience with data collection or annotations Compensation Range: * $28.50/hour * The actual salary offered is dependent on various factors including, but not limited ...

Perform data collection tasks such as manipulation of objects, walk pre-determined routes, follow testing guidelines and test protocols at Tesla facilities and in public environments * Wear motion ...

What to Expect Tesla is looking for highly motivated and adaptive individuals to support Tesla's data collection team. The primary objectives of this role are to collect data, assist with engineering ...

What to Expect Tesla is looking for highly motivated and adaptive individuals to support Tesla's data collection team. The primaryobjectivesof this role are to collect data,assistwith ...

Perform data collection tasks such as manipulation of objects, walk pre-determined routes, follow testing guidelines and test protocols at Tesla facilities and in public environments * Wear motion ...

What to Expect Tesla is looking for highly motivated and adaptive individuals to support Tesla's data collection team. The primaryobjectivesof this role are to collect data,assistwith ...

What to Expect Tesla is looking for highly motivated and adaptive individuals to support Tesla's data collection team. The primaryobjectivesof this role are to collect data,assistwith ...

What to Expect Tesla is looking for highly motivated and adaptive individuals to support Tesla's data collection team. The primaryobjectivesof this role are to collect data,assistwith ...

What to Expect Tesla is looking for highly motivated and adaptive individuals to support Tesla's data collection team. The primaryobjectivesof this role are to collect data,assistwith ...

Showing results 21-40

Data Collection Operator information

See salary details

$16

$25

$31

How much do data collection operator jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data collection 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 a data collection operator?

Data Collection Operators are professionals responsible for gathering, recording, and managing data from various sources, such as surveys, sensors, databases, or field observations. They ensure the accuracy and integrity of the information collected, often using specialized tools or software. Their work is essential for organizations that rely on data to make informed decisions, conduct research, or improve processes. Data Collection Operators may work in industries like research, healthcare, logistics, or technology.

What are the key skills and qualifications needed to thrive as a data collection operator?

To thrive as a Data Collection Operator, you need strong attention to detail, data entry accuracy, and a high school diploma or equivalent. Familiarity with data management software, spreadsheets, and sometimes proprietary collection tools is typically required. Excellent organizational skills, time management, and the ability to work independently help you excel in this role. These skills ensure the integrity and reliability of collected data, which is crucial for informed decision-making and organizational success.

What are some common challenges faced by data collection operators, and how can they effectively overcome them?

Data Collection Operators often encounter challenges such as ensuring data accuracy, managing large volumes of information, and meeting tight deadlines. To overcome these, it's important to develop strong attention to detail, utilize data validation techniques, and stay organized with robust data management tools. Collaborating closely with team members and regularly communicating with supervisors can also help address issues quickly and maintain data quality. Staying updated on best practices and company protocols will further support success in this role.

What is the difference between Data Collection Operator vs Data Entry Clerk?

AspectData Collection OperatorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require technical trainingHigh school diploma; basic computer skills
Work EnvironmentFieldwork, data gathering in various locationsOffice setting, primarily computer-based
Employer & Industry UsageResearch firms, government agencies, survey companiesBusinesses, administrative offices, healthcare, finance
Common Search & ComparisonOften compared for data collection roles in research and surveysCompared for administrative and clerical data input tasks

Data Collection Operators focus on gathering data in the field or specific environments, often requiring technical skills and fieldwork experience. Data Entry Clerks primarily input data into systems within office settings, emphasizing accuracy and speed. While both roles involve handling data, their work environments and skill requirements differ significantly.

Can you work remotely in data collection?

Data Collection Operators can sometimes work remotely, depending on the employer and the specific tasks involved. Remote work may require familiarity with data entry tools, internet connectivity, and adherence to data privacy standards. Not all positions are remote, so it is important to verify job listings for remote options.

Is data collection operator a stressful job?

Data collection operators often work in environments that require attention to detail and adherence to deadlines, which can contribute to stress. The job may involve repetitive tasks and strict data accuracy standards, but stress levels vary depending on workload, work environment, and individual coping skills.

What does a data collection operator do?

A data collection operator gathers, records, and manages data from various sources, often using specialized tools or software. They ensure data accuracy and completeness, supporting analysis and decision-making processes in organizations. This role may require attention to detail and familiarity with data entry or database management systems.

What cities are hiring for Data Collection Operator jobs?

Cities with the most Data Collection Operator job openings:

What states have the most Data Collection Operator jobs?

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

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

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

Infographic showing various Data Collection 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

This job post has expired 2 days ago. Applications are no longer accepted.


Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday Candidate Login

When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS.

Thank you!

NOTICE:For Privacy Policy please review here

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.


What Welocalize employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom