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Remote Data Labelling Jobs in California (NOW HIRING)

Waymo

Program Manager, ML Data

Mountain View, CA · On-site +1

$159K - $196K/yr

Experience managing data annotation/labeling pipelines, either with in-house tooling or by managing ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Program Manager, ML Data

Mountain View, CA · On-site +1

$159K - $196K/yr

Experience managing data annotation/labeling pipelines, either with in-house tooling or by managing ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

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 ...

Mercor

Network System Engineer

San Francisco, CA · Remote

$50 - $70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed networks, including logs, configs, telemetry, and event streams. * Label and classify key behaviors ...

Mercor

Network Support Engineer

San Francisco, CA · Remote

$50 - $70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed networks, including logs, configs, telemetry, and event streams. * Label and classify key behaviors ...

Mercor

Network Engineer

San Francisco, CA · Remote

$50 - $70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed networks, including logs, configs, telemetry, and event streams. * Label and classify key behaviors ...

HumanSignal

Delivery Lead

San Francisco, CA · Remote

$110K - $140K/yr

... and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol ... Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label ...

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Remote Data Labelling information

See California salary details

$45.4K

$162.9K

$240.3K

How much do remote data labelling jobs pay per year?

As of Jun 5, 2026, the average yearly pay for remote data labelling in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is a Remote Data Labelling job?

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

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.
More about Remote Data Labelling jobs
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:
Remote Data Labelling jobs near you
Infographic showing various Remote Data Labelling job openings in California as of May 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.
Program Manager, ML Data

Program Manager, ML Data

Waymo

Mountain View, CA • On-site, Remote

$159K - $196K/yr

Full-time

Posted 23 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world\'s most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World\'s Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

As a ML Data Program Manager, you will be the operational backbone of our machine learning initiatives. You will own and drive the complex, cross-functional programs that deliver high-quality data—the lifeblood of our models. You will orchestrate the end-to-end data lifecycle, from defining requirements for new datasets and tooling to scaling data pipelines and ensuring our ML teams have the resources they need to innovate. This is a high-impact role for a technical, detail-oriented leader who thrives on turning ambiguous data needs into tangible, scalable solutions.

You will:

  • Collaborate across cross functional groups and  align execution to meet product goals
  • Partner with technical leads, product managers and technical program managers to drive execution on broad cross-functional efforts
  • Lead proactive risk management efforts and contingency plans across the program landscape to deliver on the program
  • Set up and sustain mechanisms that enable organizational efficiencies, and improve speed of decision making and execution
  • Communicate across all levels of the organization to ensure all partners are aware of program decisions, status, and changes
  • Own the details - Dive deep, identify gaps, evaluate risks and misalignment

You have:

  • 8+ years of experience in engineering  program management, with at least 3+ years focused specifically on data-centric programs for machine learning
  • Deep understanding of the ML model lifecycle and the critical role of data within it (e.g., data sourcing, labeling, quality evaluation)
  • Proven ability to manage complex technical programs, including structuring project plans, identifying dependencies, and driving execution using Agile methodologies (e.g., Scrum)
  • Demonstrated technical judgment in the ML/data domain, with the ability to facilitate trade-off discussions about data pipelines, tooling, and data quality with engineering teams
  • Experience managing data annotation/labeling pipelines, either with in-house tooling or by managing third-party vendor relationships
  • Exceptional communication skills, capable of articulating program strategy, status, and technical details to both executive and engineering audiences

We prefer:

  • Master’s degree in a technical field, ideally related to AI/ML
  • You contributed to technical decision making by analyzing trade-offs, asking the rights questions and offering alternate solutions
  • Experience designing and reporting on program metrics that directly measure the impact of data quality on model performance

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. 

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. 

Salary Range$159,000—$196,000 USD

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