ZipRecruiter

Log In

2

Full Time 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 ... Compensation The US base salary range for this full-time position is between $150,000 - $250,000 ...

TRUCKING PEOPLE

Data Collection - Driver

Sunnyvale, CA · On-site

$25 - $28/hr

Support simple technical tasks related to data collection systems * Coordinate with internal teams ... Stable, full-time hours with consistent scheduling Hiring Process * Initial recruiter screening

TRUCKING PEOPLE

Data Collection - Driver

Sunnyvale, CA · On-site

$25 - $28/hr

Support simple technical tasks related to data collection systems * Coordinate with internal teams ... Stable, full-time hours with consistent scheduling Hiring Process * Initial recruiter screening

RESILIV LLC

Be Seen First

Field Data Collection Driver

Vernonia, OR · On-site

Schedule: Full-time, Monday to Friday, with some flexibility depending on weather and route ... Previous experience in field data collection, delivery driving, or GIS-related roles. * Familiarity ...

New

next page

Showing results 1-20

People also search for

All JobsFull Time Data Collection Jobs

Full Time Data Collection information

See salary details

$16

$25

$31

How much do full time data collection jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for full time 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 Full Time Data Collection Specialist, and why are they important?

To thrive as a Full Time Data Collection Specialist, you need strong analytical skills, attention to detail, and a background in data management or a related field. Familiarity with data entry software, spreadsheets (like Microsoft Excel or Google Sheets), and sometimes specialized survey or database tools is typically required. Excellent organizational skills, reliability, and the ability to communicate findings clearly are valuable soft skills in this role. These skills ensure the accurate, efficient, and ethical collection and handling of data, which is crucial for informed decision-making and research integrity.

What are some common challenges faced in a full-time data collection role, and how can they be managed?

In a full-time data collection role, professionals often encounter challenges such as ensuring data accuracy, managing large volumes of information, and adapting to evolving data sources or technologies. Maintaining consistency and attention to detail is crucial, especially when collecting data from diverse sources or in field environments. To manage these challenges, it's important to follow established data protocols, utilize reliable collection tools, and communicate regularly with team members to resolve discrepancies quickly. Collaboration and ongoing training also help keep skills sharp and ensure data quality remains high.

What is a Full Time Data Collection job?

A Full Time Data Collection job involves gathering, recording, and organizing data for research, business analysis, or operational purposes. Employees in this role may collect data through surveys, interviews, observations, or by using digital tools and databases. The position typically requires strong attention to detail, basic technical skills, and the ability to work independently or as part of a team. Full-time roles generally offer regular hours and may be based in various settings, such as offices, field locations, or remote environments.

What is the difference between Full Time Data Collection vs Part Time Data Collection?

AspectFull Time Data CollectionPart Time Data Collection
Work HoursTypically 35-40 hours per weekFewer hours, often under 20 hours per week
Employment StatusFull-time employment with benefitsPart-time, usually no benefits
CredentialsOften requires similar certifications or trainingSame credentials as full-time, but less experience needed
Work EnvironmentConsistent, office or field-basedFlexible, may be remote or on-site

Full Time Data Collection involves working standard hours with benefits, while Part Time Data Collection offers flexible hours with fewer or no benefits. Both roles require similar skills and certifications, but differ mainly in hours and employment status.

More about Full Time Data Collection jobs
What cities are hiring for Full Time Data Collection jobs? Cities with the most Full Time 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 job categories do people searching Full Time Data Collection jobs look for? The top searched job categories for Full Time Data Collection jobs are:
Full Time Data Collection jobs near you
Infographic showing various Full Time Data Collection job openings in the United States as of May 2026, with employment types broken down into 36% Full Time, 46% Part Time, 9% Temporary, and 9% Contract. Highlights an 89% Physical, and 11% 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 14 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.

Apply