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Data Collection Researcher Jobs (NOW HIRING)

Data Collection

San Jose, CA ยท On-site

$150K - $250K/yr

Data Collection San Jose About Hark Hark is an artificial intelligence company building advanced ... You'll work directly with researchers, engineers, and external partners, and the data you deliver ...

Data Collection

San Jose, CA ยท On-site

$150K - $250K/yr

You'll work directly with researchers, engineers, and external partners, and the data you deliver ... Design and run data collection programs end-to-end - scoping requirements, writing instructions ...

You'll work directly with researchers, engineers, and external partners, and the data you deliver ... Design and run data collection programs end-to-end - scoping requirements, writing instructions ...

About the Role We are looking to hire a Data Collection Technician who has a strong blend of of ... Prior experience in customer service, hospitality, research, or lab operations. * Experience with ...

About the Role We are looking to hire a Data Collection Technician who has a strong blend of of ... Prior experience in customer service, hospitality, research, or lab operations. * Experience with ...

Data Collection Admin Staff Indianapolis, IN Essential Functions: - Research and collect court documents - Analyze and interpret the documents collected - Communicate with local and state law ...

Head of Data Collection

San Francisco, CA ยท On-site

$150K - $200K/yr

Partner closely with Engineering and Research to execute data collection roll-outs. * Serve as the operational voice of the field by identifying opportunities to improve collection hardware, software ...

Our field data collection teams are spread across Europe and North America, ready to accept new ... Research and identify safe local parking locations to ensure vehicle and equipment security

Our field data collection teams are spread across Europe and North America, ready to accept new ... Research and identify safe local parking locations to ensure vehicle and equipment security

Our field data collection teams are spread across Europe and North America, ready to accept new ... Research and identify safe local parking locations to ensure vehicle and equipment security

Our field data collection teams are spread across Europe and North America, ready to accept new ... Research and identify safe local parking locations to ensure vehicle and equipment security

Our field data collection teams are spread across Europe and North America, ready to accept new ... Research and identify safe local parking locations to ensure vehicle and equipment security

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Data Collection Researcher information

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$30K

$113.1K

$164.5K

How much do data collection researcher jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data collection researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Collection Researcher, and why are they important?

A Data Collection Researcher needs strong analytical skills, attention to detail, and a background in statistics or social sciences, often supported by a relevant degree. Familiarity with data collection tools such as Qualtrics, SurveyMonkey, or SPSS, and sometimes IRB protocols, is typically required. Excellent organizational skills, persistence, and clear communication set top performers apart in this role. These skills and qualities are crucial for ensuring the accuracy, reliability, and ethical integrity of research data.

What are Data Collection Researchers?

Data Collection Researchers are professionals responsible for gathering, organizing, and verifying data for research purposes. They may use various methods such as surveys, interviews, observations, or database extraction to collect accurate and reliable information. Their work is crucial in ensuring the validity of research studies, market analysis, or organizational decision-making. Data Collection Researchers often collaborate with analysts and project managers to ensure the data meets the specific needs of a study or business goal.

What is the difference between Data Collection Researcher vs Data Analyst?

AspectData Collection ResearcherData Analyst
Primary FocusGathering and organizing data from various sourcesInterpreting and analyzing data to generate insights
Skills & CertificationsResearch methods, data collection tools, attention to detailStatistical analysis, data visualization, proficiency in analytics software
Work EnvironmentResearch projects, fieldwork, data gathering settingsOffice-based, data analysis, reporting
Industry UsageMarket research, academic research, survey organizationsBusiness intelligence, marketing, finance, healthcare

While both roles involve working with data, a Data Collection Researcher primarily focuses on gathering and organizing data, often in research or survey settings. In contrast, a Data Analyst interprets and analyzes data to provide actionable insights. Understanding these differences helps in choosing the right career path or job search focus.

What are some common challenges faced by Data Collection Researchers when gathering data from diverse sources?

Data Collection Researchers often encounter challenges such as inconsistent data formats, incomplete or missing data, and difficulties accessing proprietary or restricted information. Managing large datasets from multiple sources requires strong organizational skills and attention to detail to ensure accuracy and validity. Additionally, researchers must frequently collaborate with subject matter experts and technical teams to verify data relevance and resolve ambiguities, making strong communication skills essential for success in this role.
More about Data Collection Researcher jobs
Infographic showing various Data Collection Researcher job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Data Collection

Data Collection

Hark

San Jose, CA โ€ข On-site

$150K - $250K/yr

Other

Posted 12 days ago


Job description

Data Collection

San Jose

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 โ€” 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 โ€” 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 โ€” 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.