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Remote Data Labeling Jobs in California (NOW HIRING)

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 ...

Autodesk

Senior Manager, Data Security

San Francisco, CA · On-site +1

$134K - $185K/yr

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... labeling approaches * Experience designing and operating DLP controls across endpoints, network ...

Mercor

Security Analyst - Fully Remote

San Francisco, CA · Remote

$1.7K - $2.1K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to threat analysis ... Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy ...

SpaceXAI

Manager, Human Data Operations

Palo Alto, CA · On-site +1

$108K - $162K/yr

... and labeling strategies. * Define and continuously improve operational standards, annotation ... remote work is also possible - United States - Dubai - Ireland - United Kingdom - Ireland - Japan ...

New

Pliant GmbH

... white-label solutions. Founded in 2020 and headquartered in Berlin, Pliant supports over 3,500 ... You'll reproduce issues, analyze logs and data, validate API workflows, and coordinate cross ...

Planet

Visiting Staff Scientist

San Francisco, CA · On-site +1

You will collaborate with a multi-disciplinary team of "Planeteers" across space operations, data ... Use embeddings to design active learning workflows that prioritize labeling and reduce the ...

Corvus Robotics

Sr. ML Ops Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

Build and maintain the data pipeline infrastructure that consolidates internal infra, labeling ... hybrid or remote role with periodic trips to HQ in Mountain View, CA. Must Haves * 2-3 years ...

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How much do remote data labeling jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for remote data labeling in California is $33.63, according to ZipRecruiter salary data. Most workers in this role earn between $16.71 and $45.43 per hour, depending on experience, location, and employer.

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

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.

What are the key skills and qualifications needed to thrive in the Remote Data Labeling position, and why are they important?

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What is a Remote Data Labeling job?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What are the most commonly searched types of Data Labeling jobs in California? The most popular types of Data Labeling jobs in California are:
What are popular job titles related to Remote Data Labeling jobs in California? For Remote Data Labeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling jobs in California look for? The top searched job categories for Remote Data Labeling jobs in California are:
What cities in California are hiring for Remote Data Labeling jobs? Cities in California with the most Remote Data Labeling job openings:
Remote Data Labeling jobs near you
Infographic showing various Remote Data Labeling job openings in California as of July 2026, with employment types broken down into 25% Full Time, 65% Part Time, and 10% Temporary. Highlights an 100% Remote job distribution, with an average salary of $69,956 per year, or $33.6 per hour.
Senior Data Analyst

Senior Data Analyst

QuinStreet

Foster City, CA • Remote

$80K - $130K/yr

Full-time

Medical, Retirement, PTO

Posted 24 days ago

Job description

Powering Performance Marketplaces in Digital Media

QuinStreet is a pioneer in powering decentralized online marketplaces that match searchers and "research and compare" consumers with brands. We run these virtual- and private-label marketplaces in one of the nation's largest media networks.

Our industry leading segmentation and AI-driven matching technologies help consumers find better solutions and brands faster. They allow brands to target and reach in-market customer prospects with pinpoint segment-by-segment accuracy, and to pay only for performance results.

Our campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience.

We believe in:

  • The direct measurability of digital media.
  • Performance marketing. (We pioneered it.)
  • The advantages of technology.

We bring all this together to deliver truly great results for consumers and brands in the world's biggest channel.

Job Category

In this role you will become an expert on optimal performance and strategy of digital marketing campaigns. You will work with fellow analysts to analyze, conjecture, and manage investigations, product fixes, and optimizations to increase our yield and support our relationships with Media Partners.

You will be required to develop a deep understanding of the related data sources and leverage them to inform business decisions. You will be required to develop a deep understanding of our analytical tools and the automation of business processes and decision-making. You will need to leverage diverse problem solving strategies and balance multiple simultaneous efforts in a dynamic and high velocity environment.

You will be expected to delve into business problems and analyze opportunities for growth. You will be a locus for understanding advantages, weaknesses, and deploying creative approaches to analytical problems; you will be expected to communicate these insights in an effective and timely manner, responding to the analytical needs of the business, and delivering actionable plans for improving our business.

Responsibilities

  • Develop a deep understanding of the related data sources and leverage them to inform business decisions
  • Develop a deep understanding of our analytical tools and the automation of business processes and decision-making
  • Leverage diverse problem solving strategies and balance multiple simultaneous efforts in a dynamic and high velocity environment
  • Dive into business problems and analyze opportunities for growth
  • You will be a locus for understanding advantages, weaknesses, and deploying creative approaches to analytical problems
  • Communicate these insights in an effective and timely manner, responding to the analytical needs of the business, and delivering actionable plans for improving our business.

Requirements

  • 3+years of experience in an analytical role is required
  • Inquisitive mindset that is willing to challenge status quo and various stakeholders
  • Ability to digest disparate datasets and visualize key trends or takeaways from raw datasets
  • Excellent communication and presentation skills with the ability to synthesize key takeaways and present data-proven results
  • Strong analytical, organizational and problem-solving skills including abnormality detection, predictive analysis, market segmentation, and competitive analysis.
  • Experience in using SQL with enterprise datasets is required
  • Experience in R or Python is required
  • Experience with Tableau or other related Business Intelligence Tool is required
  • Experience with automation in an enterprise setting is a major place
The expected salary range for this position is $80,000 USD to $130,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices. The salary may be adjusted based on applicant's geographic location. The position is also eligible to receive performance bonus or commission and equity in the form of restricted stock units. This position is eligible to participate in the Company's standard employee benefits programs, which currently include health care benefits; (2) retirement benefits; (3) the amount of paid days off (paid sick leave, parental leave, paid time off, or vacation benefits); (4) any other tax-reportable benefits.
#LI-REMOTE

QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law.

Please see QuinStreet's Employee Privacy Notice here.

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