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Remote Data Labelling Jobs in Santa Clara, CA (NOW HIRING)

QuinStreet

Account Manager

Foster City, CA · Remote

$75K - $85K/yr

We run these virtual- and private-label marketplaces in one of the nation's largest media networks ... Requirements * BA/BS degree in Business, Marketing, Data Analytics, or any related field. * 3+ ...

TEKsystems

AI Art Director

Palo Alto, CA · Remote

$50/hr

... or labeling training data for AI/ML models - Experience with the latest AI image and video ... remote position. Application Deadline This position is anticipated to close on Aug 26, 2026. About ...

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Remote Data Labelling information

See Santa Clara, CA salary details

$54K

$193.8K

$286K

How much do remote data labelling jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote data labelling in Santa Clara, CA is $193,803.00, according to ZipRecruiter salary data. Most workers in this role earn between $156,800.00 and $199,700.00 per year, depending on experience, location, and employer.

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 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.

How can I get started in remote data labeling?

To start as a remote data labeler, gain basic knowledge of data annotation tools and understand labeling guidelines for different data types such as images, audio, or text. Many companies require a reliable internet connection, attention to detail, and sometimes a test task to demonstrate accuracy. You can find entry-level positions on online job platforms and consider completing relevant online courses to improve your skills.

How much are remote data labelers paid?

Remote data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or bonuses for accuracy and efficiency.

What are the most commonly searched types of Data Labelling jobs in Santa Clara, CA?

The most popular types of Data Labelling jobs in Santa Clara, CA are:

What are popular job titles related to Remote Data Labelling jobs in Santa Clara, CA?

For Remote Data Labelling jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Labelling jobs in Santa Clara, CA look for?

The top searched job categories for Remote Data Labelling jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Data Labelling jobs?

Cities near Santa Clara, CA with the most Remote Data Labelling job openings:

Remote Data Labelling jobs near you
Infographic showing various Remote Data Labelling job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $193,803 per year, or $93.2 per hour.

Staff Software Engineer - ML AV Labs

Uber Technologies, Inc.

Sunnyvale, CA • On-site, Remote

Full-time

Retirement

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

Uber rating

6.7

Company rating: 6.7 out of 10

Based on 116 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

Job description

About the Role

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race-and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.

As a Staff ML Engineer, you will be at the forefront of Physical AI, building advanced autonomy algorithms and models to add rich semantics to our massive driving data. You will set the technical direction for the development and implementation of machine learning techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior. You aren't just solving known problems; you are identifying the next generation of challenges in AV, designing the architectural foundations to solve them, and raising the bar for technical excellence across the entire engineering organization.

What the Candidate Will Do

Set the technical roadmap and lead the delivery of state-of-the-art Machine Learning systems:

  • Algorithm Development: Lead the strategy for development of autonomy algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake.
  • Architecture & System Design: Design and oversee the implementation of complex, large-scale ML systems, ensuring seamless integration between upstream sensor data.
  • Technical Mentorship & Influence: Mentor senior and lead engineers, fostering a culture of rigorous experimentation and engineering excellence. You will influence the technical direction of multiple teams.
  • Platform Evolution: Define the requirements for high-quality datasets and auto-labeling systems, ensuring our ML infrastructure evolves at the speed of the latest research.
  • Cross-Organizational Leadership: Act as a bridge between AV Labs and other Uber engineering units to ensure that autonomous technology is successfully integrated and deployed at scale.
Basic Qualifications
  • 8+ years of working experience in the ML, Robotics, or Autonomous Systems industry.
  • Proven experience leading large-scale technical projects from conception to production.
  • Bachelor's degree in Computer Science, Computer Engineering, or related fields.
  • Expert-level proficiency in Python and Linux environments.
  • Deep expertise in modern AI/ML frameworks (e.g., PyTorch).
Preferred Qualifications
  • PhD degree in Computer Vision, Robotics, or Machine Learning with a focus on Autonomous Driving.
  • Extensive experience with C++, CUDA, and high-performance system optimization.
  • Deep understanding of the Robot Operating System (ROS) or similar autonomous middleware.
  • Recognized expertise in the field (e.g., publications in CVPR, NeurIPS, ICRA or patents related to AV).
  • Experience building and scaling "Foundation Models" for physical world interaction.

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

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