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Entry Level Data Labeling Jobs in California (NOW HIRING)

Robotics Operator

San Francisco, CA · On-site

$22 - $32/hr

... data. * Evaluation - Assess robot performance against established criteria * Annotations - Review videos of robot task performance and accurately label actions This is an entry-level role -- no prior ...

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Entry Level Data Labeling information

What are the key skills and qualifications needed to thrive as an entry level data labeling specialist?

To thrive in entry level data labeling, you need attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with data annotation platforms, spreadsheets, and sometimes simple image or audio editing tools is beneficial. Strong focus, reliability, and the ability to follow detailed instructions set outstanding candidates apart. These skills ensure labeled data is accurate and consistent, which is critical for training effective machine learning models.

Is data labeling a good career?

Data labeling is an entry-level job that involves annotating data to train machine learning models. It typically requires attention to detail and basic computer skills, and can serve as a stepping stone into the tech industry or data science field. However, it may have limited advancement opportunities and lower pay compared to more specialized roles.

What is an entry level data labeling?

An entry level data labeling job involves reviewing and tagging data—such as images, videos, text, or audio—with specific labels or categories to help train machine learning models. Data labelers follow guidelines to accurately annotate data, making it understandable for computers. This role typically requires attention to detail, basic computer skills, and the ability to follow instructions. It is often a starting point for those interested in artificial intelligence or data science fields, and may be remote or on-site depending on the company.

What are some common challenges faced in an entry level data labeling role, and how can they be managed?

Entry level data labeling roles often involve repetitive tasks that require high attention to detail and consistency, which can sometimes lead to fatigue or decreased concentration. To manage these challenges, it's important to take regular breaks, communicate with your team about any ambiguities in the labeling guidelines, and utilize available training materials. Many companies also implement quality checks and provide feedback, which helps maintain accuracy and offers opportunities for skill development. Collaborating with peers and supervisors for clarification can make the workflow smoother and ensure high-quality labeled data.

How much do data labelers get paid?

Entry level data labelers typically earn between $10 and $15 per hour, depending on the company, location, and complexity of the labeling tasks. Some positions may offer higher pay for specialized skills or experience with tools like labeling platforms or annotation software.

How can I get started in entry level data labeling?

To start as an entry level data labeler, gain basic knowledge of data annotation tools and understand labeling guidelines for different data types such as images, text, or audio. You can find beginner-friendly online courses or tutorials, and some companies offer remote, flexible entry-level positions that require minimal prior experience. Building attention to detail and familiarity with common labeling platforms can improve your chances of getting hired.

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 Entry Level Data Labeling jobs in California?

For Entry Level Data Labeling jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Labeling jobs in California look for?

The top searched job categories for Entry Level Data Labeling jobs in California are:

What cities in California are hiring for Entry Level Data Labeling jobs?

Cities in California with the most Entry Level Data Labeling job openings:

Infographic showing various Entry Level Data Labeling job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Robotics Operator

Stealth Startup

San Francisco, CA • On-site

$22 - $32/hr

Full-time

Medical, PTO

Posted 7 days ago


Job description

Must be located near the Bay Area, with reliable transport to San Francisco, CA.

About Us

We're a stealth-mode startup at the frontier of Physical AI, building foundation models for robotics and the world models that will power the next generation of thinking machines. We're early-stage, well-capitalized, fast-paced, and hands-on.

About the Role

The Robotics Operator plays a key role in contributing to our robotics models by running hands-on data collection and evaluation sessions. In this position, you will support one or more of our three main pipelines:

  • Data Collection - Operate robotic systems to complete structured tasks and collect high-quality training data.

  • Evaluation - Assess robot performance against established criteria

  • Annotations - Review videos of robot task performance and accurately label actions

This is an entry-level role — no prior robotics experience required. This role is repetitive by design. You will typically be assigned to the pipeline that best matches your strengths, while assignments may also shift based on daily operational priorities. We are looking for people who are reliable, careful, patient, and precise.

Additional Tasks

  • Run quality checks on collected data to ensure accuracy

  • Maintain robotic equipment and testing stations

  • Document, report, and provide feedback on robot performance and data quality

  • Work with engineers to execute protocols, troubleshoot issues, and improve processes

  • Follow safety procedures and guidelines when working around robotic systems

  • Keep the lab clean, organized, and safe

What We're Looking For

  • Exceptional attention to detail, and the consistency to execute repetitive tasks the same way every time

  • Clear written communication and solid documentation habits

  • Basic mechanical aptitude and comfort handling robotics equipment

  • Basic computer skills; comfortable on Mac and/or Linux

  • Reliability and strong follow-through, especially on shift-based schedules

  • Willingness to learn, ask questions, and problem-solve

  • Comfortable adapting as priorities shift

Nice to Have

  • Experience with data collection, lab work, or other technical environments

  • Prior exposure to robotics, mechanical systems, or hardware

  • Familiarity with basic electronics or hand tools

  • Experience with data labeling or annotation work

Logistics & Benefits

  • Location: San Francisco, CA (South Beach/SoMa) — on-site 5 days a week

  • Schedule: Full-time, shift-based, scheduled in advance

  • Hours: 40 hours/week, including a 30-minute lunch break

  • Employment: W-2, facilitated through Hire.io

  • Benefits: 12 days of PTO, Cigna Health Insurance

Schedule & Compensation

  • Shift Options (8 hours with 30-minute lunch break)

    • Day Shift: 9:00 AM - 5:30 PM

    • Night Shift: 6:00 PM–2:00 AM

    • Graveyard Shift: 2:00 AM–10:00 AM.

  • Compensation:

    • Day Shift: $22/hour, $8 DoorDash voucher for lunch

    • Night Shift: $26/hour, dinner covered

    • Graveyard Shift: $32/hour, dinner covered

Physical Requirements

  • Ability to stand and walk for extended periods during testing and data collection.

  • Full use of both arms and hands for robot control

  • Good hand-eye coordination and manual dexterity