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Data Collection Jobs (NOW HIRING)

Hark

Data Collection

San Jose, CA · On-site

$150K - $250K/yr

About the Role You'll own data collection at Hark - the programs, the vendors, and the pipelines that turn raw signal into training data our models can actually learn from. That means running end-to ...

Hark

Data Collection

San Jose, CA · On-site

$150K - $250K/yr

About the Role You'll own data collection at Hark - the programs, the vendors, and the pipelines that turn raw signal into training data our models can actually learn from. That means running end-to ...

Ellaway Blues Consulting

Be Seen First

Data Collection Specialist

Fort Worth, TX · On-site

$20 - $28/hr

The Data Collection Specialist will support manufacturing operations by collecting, organizing, and maintaining production and yield data from the production floor. This position will work closely ...

GDCC West

Data Collection Specialist

Houston, TX · Remote

$10.50/hr

GDCC is one of the largest global data collection companies for Market Research. We're currently hiring Work-from-Home Telephonic Research Interviewers for our day shift team at GDCC West . In this ...

GDCC West

Data Collection Specialist

Nashville, TN · Remote

$10.50/hr

GDCC is one of the largest global data collection companies for Market Research. We're currently hiring Work-from-Home Telephonic Research Interviewers for our day shift team at GDCC West . In this ...

GDCC West

Data Collection Specialist

Salt Lake City, UT · Remote

$10.50/hr

GDCC is one of the largest global data collection companies for Market Research. We're currently hiring Work-from-Home Telephonic Research Interviewers for our day shift team at GDCC West . In this ...

GDCC West

Data Collection Specialist

Greenville, SC · Remote

$10.50/hr

GDCC is one of the largest global data collection companies for Market Research. We're currently hiring Work-from-Home Telephonic Research Interviewers for our day shift team at GDCC West . In this ...

GDCC West

Data Collection Specialist

Austin, TX · Remote

$10.50/hr

GDCC is one of the largest global data collection companies for Market Research. We're currently hiring Work-from-Home Telephonic Research Interviewers for our day shift team at GDCC West . In this ...

GDCC West

Data Collection Specialist

Greensboro, NC · Remote

$10.50/hr

GDCC is one of the largest global data collection companies for Market Research. We're currently hiring Work-from-Home Telephonic Research Interviewers for our day shift team at GDCC West . In this ...

GDCC West

Data Collection Specialist

San Antonio, TX · Remote

$10.50/hr

GDCC is one of the largest global data collection companies for Market Research. We're currently hiring Work-from-Home Telephonic Research Interviewers for our day shift team at GDCC West . In this ...

GDCC West

Data Collection Specialist

Savannah, GA · Remote

$10.50/hr

GDCC is one of the largest global data collection companies for Market Research. We're currently hiring Work-from-Home Telephonic Research Interviewers for our day shift team at GDCC West . In this ...

TRUCKING PEOPLE

Data Collection - Driver

Sunnyvale, CA · On-site

$25 - $28/hr

We are hiring Vehicle Operators to support a growing autonomous driving program focused on real-world data collection and testing. In this role, you will operate test vehicles on assigned routes ...

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Data Collection information

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How much do data collection jobs pay per hour?

As of May 28, 2026, the average hourly pay for data collection 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 are the key skills and qualifications needed to thrive as a Data Collection Specialist, and why are they important?

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 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 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.

More about Data Collection jobs
What cities are hiring for Data Collection jobs? Cities with the most Data Collection job openings:
What are the most commonly searched types of Data Collection jobs? The most popular types of Data Collection jobs are:
What states have the most Data Collection jobs? States with the most job openings for Data Collection jobs include:
What job categories do people searching Data Collection jobs look for? The top searched job categories for Data Collection jobs are:
Data Collection jobs near you
Infographic showing various Data Collection job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 53% Physical, 10% Hybrid, and 37% Remote job distribution, with an average salary of $52,640 per year, or $25.3 per hour.
Data Collection

Data Collection

Hark

San Jose, CA • On-site

$150K - $250K/yr

Full-time

Posted 10 days ago

Job description

About Hark
Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.
We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.
To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.
About the Role
You'll own data collection at Hark - the programs, the vendors, and the pipelines that turn raw signal into training data our models can actually learn from.
That means running end-to-end campaigns across human feedback, synthetic data, and product-embedded signals. The quality of what we collect shapes the quality of what we ship, and this role owns that loop.
This is a high-ownership role on a small team. You'll work directly with researchers, engineers, and external partners, and the data you deliver will directly influence how our models behave in the real world.
Responsibilities
  • Design and run data collection programs end-to-end - scoping requirements, writing instructions, defining success criteria, and driving execution with vendors and annotators.
  • Manage external vendor relationships. Be the primary interface between Hark and data partners, keeping quality high and timelines on track.
  • Assess collected data using internal tooling, identify quality issues, and feed clear, actionable feedback back to vendors and annotators.
  • Collaborate closely with model researchers and engineers to understand what data is needed, translate that into operational plans, and deliver.
  • Track program metrics, surface insights, and drive continuous improvements to quality, throughput, and process.
  • Identify gaps in tooling and workflows and propose concrete improvements.

Requirements
  • Operational excellence. You can manage multiple programs simultaneously, keep track of details under pressure, and bring structure to fast-moving situations.
  • Experience working with external vendors or contractors. You know how to set expectations, manage relationships, and hold partners accountable to quality.
  • A knack for data. You've gone beyond surface-level metrics - you dig in, find patterns, and use what you find to make things better.
  • Strong communication. You can translate between research requirements and operational reality, and you keep everyone aligned without letting things slip.
  • Comfort with ambiguity and fast iteration. You take a rough problem, build a process around it, get feedback, and tighten it quickly.
  • Genuine curiosity about AI. You don't need to be an ML researcher, but you care about how models learn and why data quality matters.
  • 2+ years of relevant experience in data operations, program management, or a related field.

Bonus Qualifications
  • Experience managing human feedback or preference data programs.
  • Familiarity with data annotation platforms or labeling pipelines.
  • Experience with synthetic data generation or evaluation dataset design.
  • Background working at a fast-moving AI or research-driven company.

Compensation
The US base salary range for this full-time position is between $150,000 - $250,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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