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Remote Data Labelling Jobs in California (NOW HIRING)

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 ...

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 ...

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 ...

Strong background with data structures and algorithms (CS/Mathematics deg) NICE-TO-HAVES * 1+ year ... Remote work not available TRAVEL Travel not required VISA Candidate visas are not supported ...

Showing results 21-40

Remote Data Labelling information

What are the key skills and qualifications needed to thrive in remote data labelling?

To thrive as a Remote Data Labelling professional, strong attention to detail, accuracy, and basic computer literacy are essential, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, labeling tools, and sometimes experience with spreadsheet or project management software are common requirements. Excellent time management, self-motivation, and the ability to follow detailed instructions help individuals excel in this largely independent role. These qualifications are vital to ensure precise, high-quality data sets that drive effective machine learning and AI model development.

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

Remote data labelling professionals often encounter challenges such as repetitive tasks, maintaining focus over extended periods, and interpreting ambiguous data accurately. To manage these challenges, it helps to take regular breaks, use productivity techniques, and seek clarification from supervisors or team leads when instructions are unclear. Many companies provide detailed guidelines and offer online support channels to help remote labelers stay engaged and ensure consistency. Being proactive in communication and attentive to updates in instructions will contribute to both job satisfaction and data quality.

What is a remote data labelling?

A Remote Data Labelling job involves annotating, categorizing, or tagging data (such as images, text, or audio) to help train machine learning models. Workers typically use specialized tools to label data based on specific guidelines provided by companies. This role is performed entirely online, making it flexible and accessible from anywhere. It is commonly used in AI development for industries like autonomous vehicles, healthcare, and e-commerce.

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

The most popular types of Data Labelling jobs in California are:

What are popular job titles related to Remote Data Labelling jobs in California?

For Remote Data Labelling jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Data Labelling jobs in California look for?

The top searched job categories for Remote Data Labelling jobs in California are:

What cities in California are hiring for Remote Data Labelling jobs?

Cities in California with the most Remote Data Labelling job openings:

Infographic showing various Remote Data Labelling job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Analyst

QuinStreet

Foster City, CA • Remote

$80K - $130K/yr

Full-time

Re-posted 16 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.