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Data Collection Jobs in Anaheim, CA (NOW HIRING)

Agillabs.ai

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Data Collection Operator

Los Angeles, CA · On-site

$20 - $22/hr

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

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Agillabs.ai

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Video Data Collection and Robot Operations Specialist

Los Angeles, CA · On-site

$25 - $30/hr

Execute video data collection using DSLR/iPhone or -approved capture devices, support device setup, assist robot-assisted operations, manage media offloads, and follow capture-quality procedures. 1-2 ...

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Insight Global

Data Collector

Los Angeles, CA · On-site

$62K - $68K/yr

Data collection: Wear sensor suits to perform repetitive, precise physical movements (walking, lifting, reaching) that guide the robot and generate training data, for up to 8 hours per shift. SOP ...

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All JobsData Collection JobsData Collection Jobs in Anaheim, CA

Data Collection information

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$16

$26

$33

How much do data collection jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for data collection in Anaheim, CA is $26.49, according to ZipRecruiter salary data. Most workers in this role earn between $24.42 and $27.16 per hour, depending on experience, location, and employer.

What is data collection?

Data collection is the process of gathering and measuring information on targeted variables in a systematic way to answer research questions, test hypotheses, or evaluate outcomes. It is a critical first step in research, analytics, and decision-making, ensuring that the data collected is accurate, reliable, and relevant. Data collection can be done through various methods, including surveys, interviews, observations, or digital tools, depending on the objectives and resources available. Proper data collection enables organizations and researchers to make informed decisions based on evidence and trends.

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

To thrive as a Data Collection Specialist, you need strong analytical abilities, attention to detail, and a background in statistics or data management, often supported by a relevant degree or coursework. Familiarity with data collection tools like survey platforms, Excel, and database management systems, as well as knowledge of data privacy regulations, is essential. Strong organizational skills, clear communication, and adaptability help ensure accuracy and efficiency in gathering and recording data. These skills are crucial for collecting reliable data that supports informed decision-making and organizational objectives.

What are some common challenges faced by professionals in data collection roles, and how can they be overcome?

Data collection professionals often encounter challenges such as ensuring data accuracy, managing large volumes of data, and maintaining data privacy. Inaccurate or incomplete data can compromise analysis, so attention to detail and robust validation processes are essential. Additionally, collaborating closely with other team members, such as analysts and IT staff, helps streamline workflows and troubleshoot issues quickly. Staying updated on best practices and using reliable tools can further improve efficiency and data quality.

What is the difference between Data Collection vs Data Analyst?

AspectData CollectionData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require certifications in data toolsBachelor's degree in data science, statistics, or related field; certifications like SQL or Python often preferred
Work EnvironmentFieldwork, surveys, online data gathering, or office-based data entryOffice setting, analyzing data sets, creating reports
Employer & Industry UsageResearch firms, marketing agencies, government agenciesTech companies, finance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding data collection methods and rolesAnalyzing data to derive insights and support decision-making

Data Collection involves gathering raw data through various methods, while Data Analysts interpret and analyze that data to generate insights. Both roles are essential in data-driven industries but focus on different stages of the data process.

How much money do data collectors make?

Data collectors typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the data collection tasks. Some positions may offer additional incentives or bonuses for meeting targets or working in specialized environments.

Is data collection a good job?

Data collection jobs involve gathering information for research, marketing, or analysis purposes and often require attention to detail and basic technical skills. These roles can be part-time or full-time, with varying pay and job stability depending on the industry and employer. They are generally suitable for individuals interested in data, research, and working in flexible or remote environments.

What are the most commonly searched types of Data Collection jobs in Anaheim, CA?

The most popular types of Data Collection jobs in Anaheim, CA are:

What are popular job titles related to Data Collection jobs in Anaheim, CA?

For Data Collection jobs in Anaheim, CA, the most frequently searched job titles are:

What job categories do people searching Data Collection jobs in Anaheim, CA look for?

The top searched job categories for Data Collection jobs in Anaheim, CA are:

What cities near Anaheim, CA are hiring for Data Collection jobs?

Cities near Anaheim, CA with the most Data Collection job openings:

Data Collection jobs near you
Infographic showing various Data Collection job openings in Anaheim, CA as of August 2026, with employment types broken down into 55% Full Time, 40% Part Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $55,109 per year, or $26.5 per hour.

Data Collection Operator

Agillabs.ai

Los Angeles, CA • On-site

$20 - $22/hr

Contractor

Posted 3 days ago

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Job description

Execute indoor and outdoor user-study data collection sessions as per protocols. Support participant-session readiness, sensor/device calibration coordination, data offloads, platform validation, daily run logs, issue capture, and operational handoffs to QA/technical teams.
Field data collection, protocol execution, device handling, basic troubleshooting, sensor calibration support, data offload process, attention to detail, participant-facing professionalism, documentation, escalation discipline