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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 ...

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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How much do remote data labeling jobs pay per hour?

As of Jun 6, 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
Senior Staff Data Scientist, Perception

Senior Staff Data Scientist, Perception

Waymo

Mountain View, CA • On-site, Remote

$298K - $368K/yr

Other

This job post has expired today. Applications are no longer accepted.

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.

This role is part of Waymo's Perception Development Foundations (PDF) team. The PDF team's mission is to accelerate improvements to Waymo's Perception system by providing teams with cutting-edge Data, Model Development tools, and Evaluation frameworks. We focus on removing toil, increasing automation, and enhancing how models use data and how we measure performance.

In this hybrid role, you will report to a director of engineering.

You will:

  • Define and own the overarching vision and multi-year strategy for determining the size, composition, and collection methods for datasets used in Perception model training and evaluation.

  • Drive the design and organizational adoption of frameworks to estimate data needs based on model performance, scaling laws, generalization goals, and a deep understanding of the diversity in new geographies.

  • Define and refine strategies for Perception evaluation datasets, ensuring they provide sufficient coverage and statistical power to measure progress and de-risk new deployments.

  • Collaborate closely with Perception engineers, ML researchers, the Labeling organization, and Operations teams to translate strategic recommendations into actionable labeling plans.

  • Analyze existing data sources to identify structural gaps, biases, and opportunities for more efficient data utilization.

  • Establish and champion data-driven best practices for dataset design and data quality within the Perception organization, driving operational maturity.

  • Establish the impact of the Data Science function within Perception as a hands-on IC, followed by building a small team.

You have:

  • BS/MS and 10+ years of industry experience, or PhD + 8 years of industry experience in Statistics, Mathematics, Physics, Economics, Engineering, Computer Science, or a related quantitative field.

  • 8+ years of experience using analytics, statistical modeling, and machine learning to solve complex product, business, or autonomous systems problems.

  • 5+ years of experience in coding (e.g., Python, R, SQL), querying databases, and statistical analysis.

  • Proven ability to lead and deliver on highly ambiguous, high-impact technical projects in a self-directed environment.

  • Strong communication and collaboration skills, with a track record of influencing cross-functional teams and senior leadership.

We prefer:

  • Experience applying statistical and machine learning techniques to large-scale datasets.

  • 6+ years of experience leading data analytics or data science initiatives, including defining strategy, roadmaps, and building functions from the ground up.

  • Deep experience with data collection strategies, experimental design, sampling methodologies, and causal inference.

  • A track record of mentoring other Data Scientists and driving adoption of new methods across an entire organization.

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
$298,000—$368,000 USD

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