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From Home Traffic Data Collection Jobs in California

Data Collection

San Jose, CA · On-site

$150K - $250K/yr

Data Collection San Jose About Hark Hark is an artificial intelligence company building advanced ... from the ground up as a single, unified interface for a new era of intelligent systems. About the ...

Data Collection

San Jose, CA · On-site

$150K - $250K/yr

... from the ground up as a single, unified interface for a new era of intelligent systems. About the ... Design and run data collection programs end-to-end - scoping requirements, writing instructions ...

... from the ground up as a single, unified interface for a new era of intelligent systems. About the ... Design and run data collection programs end-to-end - scoping requirements, writing instructions ...

Data Collection Operator 1 Location: Sunnyvale, C Duration: 12 months Primary Function: Client is ... from examples. Ability to learn common robotics motions found in surgery. * The ability to make ...

Data collection Data storage Data analysis Reporting and documentation Hands-on experience managing data collection projects from start to finish Top Skills Amazon Is Looking For Data Collection ...

System & Data Scientist

Sunnyvale, CA · On-site

$100 - $140/hr

Identify ODD boundaries, edge conditions, and failure triggers to inform data collection and system ... ng from home. We operate core working hours so you can determine the schedule that works best for ...

Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. We are looking for a Data Collection Quality Support specialist to ...

You'll be the welcoming face of our studies, ensuring participants have a positive experience from ... Collaborate daily with the data collection team to ensure seamless workflows and flag any issues ...

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From Home Traffic Data Collection information

What is a from home traffic data collection?

A From Home Traffic Data Collection job involves gathering and analyzing data related to traffic flow, congestion, and patterns, typically for research, urban planning, or navigation purposes, all from a remote or home-based setting. Workers may be responsible for monitoring live feeds, reviewing recorded footage, or using specialized software to log vehicle counts, speeds, or incidents. The role often requires attention to detail, basic technical skills, and the ability to work independently. This type of job is ideal for those looking for flexible, remote work in data entry or analysis.

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

To thrive as a From Home Traffic Data Collection specialist, you need strong analytical skills, attention to detail, and basic knowledge of data entry or statistics, often supported by a high school diploma or relevant experience. Familiarity with spreadsheets, data collection tools, and sometimes GIS or traffic analysis software is typically required. Excellent organizational skills, reliability, and the ability to work independently are crucial soft skills for this remote role. These skills ensure accurate, timely data collection and reporting, which are essential for reliable traffic analysis and decision-making.

What are common challenges faced when working in a remote traffic data collection role, and how can they be managed?

Working from home in traffic data collection often requires high attention to detail, reliable internet connectivity, and the ability to work independently. Common challenges include maintaining focus during repetitive tasks, ensuring data accuracy, and troubleshooting technical issues without onsite support. To manage these, it's helpful to establish a dedicated workspace, use time management techniques, and stay connected with your team through regular virtual check-ins. Leveraging provided training resources and communicating any obstacles promptly can also help maintain productivity and data quality.

What is the difference between From Home Traffic Data Collection vs From Home Market Research Surveyor?

AspectFrom Home Traffic Data CollectionFrom Home Market Research Surveyor
CredentialsBasic data analysis, familiarity with traffic monitoring toolsMarket research certifications, survey design experience
Work EnvironmentRemote, using traffic data software and online platformsRemote, conducting surveys and analyzing consumer responses
Industry UsageTransportation, urban planning, traffic managementMarketing, advertising, consumer insights
Search & Comparison IntentUnderstanding traffic patterns vs consumer behavior

From Home Traffic Data Collection focuses on gathering and analyzing traffic flow information remotely, often for urban planning or transportation projects. In contrast, From Home Market Research Surveyor involves collecting consumer opinions and preferences through surveys. Both roles are remote, require analytical skills, but serve different industries and data types.

What are the most commonly searched types of Traffic Data Collection jobs in California?

The most popular types of Traffic Data Collection jobs in California are:

What are popular job titles related to From Home Traffic Data Collection jobs in California?

For From Home Traffic Data Collection jobs in California, the most frequently searched job titles are:

What job categories do people searching From Home Traffic Data Collection jobs in California look for?

The top searched job categories for From Home Traffic Data Collection jobs in California are:

What cities in California are hiring for From Home Traffic Data Collection jobs?

Cities in California with the most From Home Traffic Data Collection job openings:

Data Collection

San Jose, CA • On-site

$150K - $250K/yr

Other

Re-posted 10 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 — 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.