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Hourly Remote Data Labeling Jobs in California (NOW HIRING)

QuinStreet

Data Analyst

Foster City, CA · Remote

$85K - $100K/yr

We run these virtual- and private-label marketplaces in one of the nation's largest media networks ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

Ventura Foods

Director Master Data Management

Irvine, CA · On-site +1

$143K - $228K/yr

Remote Position Summary: The Director - MDM COE is responsible for establishing and leading the ... labeling). Leadership & Change Management: * Build and lead a cross-functional team of data ...

Ventura Foods

Director Master Data Management

Irvine, CA · On-site +1

$143K - $228K/yr

Remote Position Summary: The Director - MDM COE is responsible for establishing and leading the ... labeling). Leadership & Change Management: * Build and lead a cross-functional team of data ...

Danaher

Senior Clinical Data Manager

Vista, CA · On-site +1

We recognize the benefits of flexible, remote working arrangements for eligible roles and are ... The annual salary range OR the hourly range for this role is $105,000 to $125,000. This is the ...

QuinStreet

Senior Data Analyst

Foster City, CA · Remote

$80K - $130K/yr

We run these virtual- and private-label marketplaces in one of the nation's largest media networks ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

Data Annotation

$50 - $60/hr

Projects are paid hourly starting at USD $50-$60 per hour, with bonus rates available on some ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Data Annotation

$50 - $60/hr

Projects are paid hourly starting at USD $50-$60 per hour, with bonus rates available on some ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Hourly Remote Data Labeling information

What are the key skills and qualifications needed to thrive as an Hourly Remote Data Labeler, and why are they important?

To thrive as an Hourly Remote Data Labeler, you need strong attention to detail, basic computer literacy, and the ability to follow specific guidelines, often with a high school diploma or equivalent. Familiarity with data annotation tools and platforms such as Labelbox, Prodigy, or internal company systems is typically required. Reliability, time management, and effective written communication are crucial soft skills for meeting deadlines and maintaining quality in a remote setting. These skills and qualities are important to ensure accurate, consistent data labeling that directly impacts the performance of AI and machine learning models.

What is the difference between Hourly Remote Data Labeling vs Data Annotation Specialist?

AspectHourly Remote Data LabelingData Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with some industry-specific knowledge
Work EnvironmentRemote, flexible hoursRemote, often project-based or ongoing
Industry UsageCommon in AI/ML developmentUsed across tech, healthcare, automotive sectors
Search IntentLooking for remote data labeling jobsSearching for data annotation roles

Both roles involve labeling or annotating data for machine learning models, often remotely. The main difference lies in terminology and specific industry usage, but they share similar credentials and work environments.

What is hourly remote data labeling?

Hourly remote data labeling is a job where individuals work from home to tag, categorize, or annotate data (such as images, videos, text, or audio) for machine learning and artificial intelligence projects. Workers are typically paid by the hour and use online platforms to complete labeling tasks assigned by companies or research organizations. This work is crucial because AI models need large volumes of accurately labeled data to learn and function properly. The job usually requires attention to detail and may involve following specific guidelines to ensure data quality.

What are some common challenges faced by hourly remote data labeling professionals, and how can they be managed?

Hourly remote data labeling professionals often encounter challenges such as maintaining consistent accuracy, managing repetitive tasks, and staying self-motivated while working independently. To manage these challenges, it's important to set up a dedicated workspace, take regular breaks to reduce fatigue, and follow established labeling guidelines closely. Frequent communication with team leads and participating in quality feedback sessions can also help ensure your work meets project standards and fosters professional growth.
What are the most commonly searched types of Remote Data Labeling jobs in California? The most popular types of Remote Data Labeling jobs in California are:
What are popular job titles related to Hourly Remote Data Labeling jobs in California? For Hourly Remote Data Labeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Data Labeling jobs in California look for? The top searched job categories for Hourly Remote Data Labeling jobs in California are:
What cities in California are hiring for Hourly Remote Data Labeling jobs? Cities in California with the most Hourly Remote Data Labeling job openings:
Hourly Remote Data Labeling jobs near you
Infographic showing various Hourly Remote Data Labeling job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Part-time NGS Data Quality Engineer

Part-time NGS Data Quality Engineer

The National Football League

Inglewood, CA • Remote

Other

Posted 19 days ago

Job description

The NFL's Next Gen Stats team is seeking associates for its player tracking project to help with game data review and verification. Candidate will work closely with Next Gen Stats engineering team by assisting the team in reviewing all plays during live games in preseason and on Sundays during regular season, ensuring data is correct and making necessary changes when it is not. The ideal candidate for this position loves football and enjoys immersing themselves in data and finding insights. Candidates must be self-motivated and available on Sundays for the entirety of the season (Aug-Jan). NOTE: This is a remote position on Sundays only during the NFL season.

Essential Functions 

  • Review and verify data on all plays during live games 
  • Ensure all plays have data and video mapped properly 
  • Confirm player participation on a play-by-play basis 
  • Confirm all advanced statistics are created post play 
  • Make necessary changes to data when incorrect using in house developed web-based tools 

 Required Education and Experience 

  • Strong football knowledge 
  • Must be computer savvy (Chrome, Slack, Google Docs/Sheets, Zoom, etc.) 
  • Detail-oriented and reliable 
  • Strong problem solving and analytical skills 

 Preferred Education and Experience 

  • Hands on experience with data manipulation a plus 

 Other Key Attributes / Characteristics 

  • This is a remote position. 
  • Must work game days during preseason (Thu-Sun) and Sundays during regular season. 
  • Candidates must be available for all 18 Sundays during regular season. 
  • A reliable internet connection is required, everything else will be supplied. 
  • All applicants must be eligible to work in the United States. No relocation or visa sponsorship is available for this position. 

Terms / Expected Hours of Work 

  • 4-8 hours per Game Day 

Salary / Pay Range 

This job posting contains a pay range, which represents the range of salaries or hourly rates that the NFL believes, in good faith, at the time of this posting that it might be willing to pay for the posted job. The NFL expects to hire for this position near the middle of the range. Only in truly rare and exceptional circumstances, where an external candidate has experience, credentials or expertise that far exceed those required or expected for the position, would the NFL consider paying a salary or rate near the higher end of the range. 

Terms / Expected Hours of Work 

  • The NFL is committed to building a diverse, equitable and inclusive work environment that reflects our incredibly diverse fan base. We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to status as protected by applicable federal, state, or local law.

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