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Data Collection Research Jobs in California (NOW HIRING)

Hark

Data Collection

San Jose, CA · 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 ...

Hark

Data Collection

San Jose, CA

$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 ...

Tacit

Data Collection Technician

San Francisco, CA · On-site

$20/hr

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 ...

Nourish

Research Associate

San Francisco, CA · On-site +1

... data collection, and helping translate research plans into published outputs and high-impact commercial evidence. This is a highly hands-on role for a strong individual contributor who thrives in ...

Nourish

Research Associate

San Diego, CA · On-site +1

... data collection, and helping translate research plans into published outputs and high-impact commercial evidence. This is a highly hands-on role for a strong individual contributor who thrives in ...

Apple

ML Data - Research Scientist

Cupertino, CA

$184K - $277K/yr

Your goal will be to design and conduct experiments on our data collection methods to discover ... research topics and data strategies aligned with model performance and product requirements Design ...

Apple

ML Data - Research Scientist

Cupertino, CA

$150K - $225K/yr

Your goal will be to design and conduct experiments on our data collection methods to discover ... research topics and data strategies aligned with model performance and product requirements Design ...

Stanford University

Research Data Analyst 2

Stanford, CA · On-site

$108K - $128K/yr

Recognizing the current shortcomings in health data collection and accessibility, the initiative ... research staff. * - Other duties may also be assigned The expected pay range for this position is ...

Apex Informatics

Research Associate

Mountain View, CA · On-site

... refine data collection protocols for various health research studies - Perform data collections ... conduct studies/tests) for various research studies across products. - Assisting IRB submissions ...

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Data Collection Research information

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$15

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How much do data collection research jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for data collection research in California is $24.98, according to ZipRecruiter salary data. Most workers in this role earn between $23.03 and $25.62 per hour, depending on experience, location, and employer.

What is a data collection research?

A Data Collection Research job involves gathering, organizing, and analyzing data for research purposes. Professionals in this role use various methods such as surveys, interviews, experiments, or database extraction to collect accurate and relevant information. They ensure data quality, maintain records, and sometimes interpret findings to support decision-making. This role is essential in industries like marketing, healthcare, and social sciences, where reliable data is crucial for insights and strategy development. Strong attention to detail and analytical skills are important for success in this field.

What are the key skills and qualifications needed to thrive in data collection research, and why are they important?

To thrive as a Data Collection Researcher, you need strong analytical abilities, attention to detail, and a background in statistics or social sciences, often supported by a relevant degree. Familiarity with survey software, data management tools (like Excel or SPSS), and sometimes certifications in research methods are commonly required. Effective communication, organizational skills, and adaptability help professionals excel in collaborating with teams and managing multiple projects. These skills are crucial to ensuring data accuracy, project efficiency, and meaningful insights in research-driven environments.

What are the typical daily responsibilities of a data collection researcher?

Data Collection Researchers generally spend their days designing and administering surveys or interviews, coordinating with participants, gathering and validating data, and ensuring ethical research standards are met. You may also analyze preliminary results, input data into databases or statistical software, and report findings to project leads or stakeholders. Collaboration with research teams and regular communication with participants are common, so strong interpersonal skills are important. The role often involves balancing multiple deadlines and adapting to evolving project requirements, providing a dynamic and engaging work environment.

What are the most commonly searched types of Data Collection Research jobs in California? The most popular types of Data Collection Research jobs in California are:
What are popular job titles related to Data Collection Research jobs in California? For Data Collection Research jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Collection Research jobs in California look for? The top searched job categories for Data Collection Research jobs in California are:
What cities in California are hiring for Data Collection Research jobs? Cities in California with the most Data Collection Research job openings:
Data Collection Research jobs near you
Infographic showing various Data Collection Research job openings in California as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $51,951 per year, or $25 per hour.

Data Collection

Hark

San Jose, CA • On-site

$150K - $250K/yr

Full-time

Re-posted 19 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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