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Entry Level Machine Learning Data Annotation Jobs in California

You'll work in coordination with Machine Learning, Software engineering, and Data to define the framework and tools on which to build a data annotation team around. Your role is vital to ensuring our ...

Machine Learning Model Specialist The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a ...

Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning data pipelines. * Design tests for machine ...

Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning data pipelines. * Design tests for machine ...

Job Summary Our client is looking for a machine learning engineer to join our existing ML team in developing and refining a predictive application. The ideal candidate is adept at using large data ...

The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. ..This role ...

The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

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Entry Level Machine Learning Data Annotation information

What is the difference between Entry Level Machine Learning Data Annotation vs Entry Level Data Labeling Specialist?

AspectEntry Level Machine Learning Data AnnotationEntry Level Data Labeling Specialist
CredentialsBasic understanding of data annotation tools, no formal certification requiredSimilar; often no formal certification needed
Work EnvironmentRemote or on-site, working with AI teams and datasetsRemote or on-site, focusing on labeling data for AI/ML projects
Industry UsagePrimarily in AI, machine learning, and data science companiesUsed across tech, automotive, healthcare, and other industries
Search & Comparison IntentCommonly compared for entry-level roles in AI data prepOften compared as a similar entry-level data labeling role

Both roles involve preparing data for machine learning models, with similar entry-level requirements. The main difference lies in terminology and specific job focus, but they often overlap in skills and work environment.

What are the most commonly searched types of Machine Learning Data Annotation jobs in California? The most popular types of Machine Learning Data Annotation jobs in California are:
What are popular job titles related to Entry Level Machine Learning Data Annotation jobs in California? For Entry Level Machine Learning Data Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Data Annotation jobs in California look for? The top searched job categories for Entry Level Machine Learning Data Annotation jobs in California are:
What cities in California are hiring for Entry Level Machine Learning Data Annotation jobs? Cities in California with the most Entry Level Machine Learning Data Annotation job openings:
Infographic showing various Entry Level Machine Learning Data Annotation job openings in California as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Data Annotation Lead

Data Annotation Lead

Sunday Inc

Redwood City, CA • On-site

Full-time

Posted 3 days ago


Job description

Join Us in Building the Future of Home Robotics
At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time.
We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we'd love to hear from you.
What to Expect
We're looking for a Data Annotations Lead to join our Data team and own the people side of data annotation.
This role is about building and leading a world class in-house data annotation team that is able to pivot quickly to any research experiment while delivering on quality, quantity, and variety when it comes to data.
You'll work in coordination with Machine Learning, Software engineering, and Data to define the framework and tools on which to build a data annotation team around. Your role is vital to ensuring our data annotators are aligned with the guidances for annotations and are upholding a culture of happiness.
What You'll Do
  • Build a data annotation team
  • Manage the people side of data annotations
  • Create documentation
  • Be in the weeds and annotate data yourself anytime something new is being designed
  • Create data annotation processes

What You'll Bring
  • Clear written and verbal communication to guide our data annotators
  • Your ability to manage unexpected challenges
  • Your ownership of key stakeholders with data annotators, engineering, and support
  • Excitement for the growth and development of data annotation
  • Someone adept at prioritization of competing requests, who's able to move both quickly, and in an organized manner
  • A level of hardcore-ness while still treating people like people
  • Intermediate level understanding of ML

Nice to Have
  • Previous experience leading data annotation teams
  • Technical skills to build tools for data annotation
  • Ability to leverage AI to help improve productivity

At Sunday Robotics, we're building technology shaped by real people - curious, creative, and diverse. We're proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Even if you don't meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don't want that to be the reason we miss out on great talent.