ZipRecruiter

Log In

1

Data Annotation Research Jobs in California (NOW HIRING)

Cerebras

Client Director, Frontier Data - US

Palo Alto, CA · On-site

$255 - $325/hr

Oversee the entire data lifecycle from client intake and annotation workflow design to delivery * Partner with product, research, and engineering teams to implement evaluation metrics (e.g., win rate ...

Abaka AI

Research Program Associate

Mountain View, CA · On-site

As a Research Program Associate, you will support the operational coordination and execution of ... collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is ...

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... Research, GTM, and Engineering teams • Assist with dataset reviews, QA processes, delivery ... data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... Research, GTM, and Engineering teams • Assist with dataset reviews, QA processes, delivery ... data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... Research, GTM, and Engineering teams • Assist with dataset reviews, QA processes, delivery ... data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... researchers with data workflows. Responsibilities : • Design, build, and maintain tools and ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... AI researchers to support new kinds of data workflows Qualifications : Required : • Strong ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

General Motors

Staff ML Systems Engineer

Sunnyvale, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... researchers . * Experience with computer vision , machine learning , or data-centric AI projects - especially where data annotation, data quality, or autolabeling loops were central to the work.

New

General Motors

Staff ML Systems Engineer

Sunnyvale, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... researchers . * Experience with computer vision , machine learning , or data-centric AI projects - especially where data annotation, data quality, or autolabeling loops were central to the work.

New

previous page

Showing results 41-60

All JobsData Annotation Research JobsData Annotation Research Jobs in California

Data Annotation Research information

What is data annotation research?

Data annotation research involves studying and developing methods for labeling data, such as images, text, or audio, to be used in training machine learning models. Researchers in this field focus on improving annotation accuracy, efficiency, and scalability, as well as addressing challenges like bias and consistency. This work is critical because high-quality annotated data is essential for building effective AI systems. Data annotation research often includes exploring new tools, techniques, and guidelines for human annotators or automated labeling systems.

What are the key skills and qualifications needed to thrive as a data annotation researcher, and why are they important?

To thrive as a Data Annotation Researcher, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a degree in computer science, linguistics, or a related field. Experience with annotation platforms, data management tools, and sometimes knowledge of programming languages like Python are typically required. Excellent communication, problem-solving abilities, and the capacity to work independently set standout contributors apart. These skills ensure high-quality, accurate data labeling, which is crucial for developing reliable AI and machine learning models.

What are some common challenges faced in data annotation research roles, and how can they be addressed?

Professionals in Data Annotation Research often encounter challenges such as maintaining consistency in labeling, dealing with ambiguous data, and managing large datasets efficiently. These issues can be addressed by following detailed annotation guidelines, participating in regular calibration sessions with the team, and utilizing annotation tools that support quality control checks. Collaboration with data scientists and project managers is essential to clarify ambiguities and ensure that annotated data meets the project's requirements. Staying proactive in communication and continuous learning helps to minimize errors and improve overall data quality.

What is the difference between Data Annotation Research vs Data Labeling Specialist?

AspectData Annotation ResearchData Labeling Specialist
CredentialsTypically requires a background in data science, research methods, or related fieldsOften requires basic technical skills and experience with labeling tools
Work EnvironmentResearch labs, tech companies, or remote research teamsData centers, tech companies, or remote labeling teams
Industry UsageUsed in AI/ML research, developing annotation methodologiesUsed in preparing datasets for machine learning models
Search & Comparison IntentUnderstanding research-focused roles in data annotationLooking for practical data labeling jobs

Data Annotation Research involves exploring new annotation techniques and improving data quality for AI models, often requiring research skills. In contrast, Data Labeling Specialists focus on applying existing labeling tools to annotate datasets efficiently. Both roles are essential in AI development but differ in scope and expertise.

What are popular job titles related to Data Annotation Research jobs in California?

For Data Annotation Research jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Annotation Research jobs in California look for?

The top searched job categories for Data Annotation Research jobs in California are:

What cities in California are hiring for Data Annotation Research jobs?

Cities in California with the most Data Annotation Research job openings:

Data Annotation Research jobs near you
Infographic showing various Data Annotation Research job openings in California as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 92% In-person, and 8% Remote job distribution.

Senior Machine Learning Data Curation Engineer

XPENG

Santa Clara, CA • On-site

$134K - $161K/yr

Full-time

Posted 25 days ago

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
We are seeking a Machine Learning Data Curation Engineer to spearhead the data pipeline development and dataset management for our core AI initiatives. You will bridge the gap between raw data and robust, high-performance machine learning models by designing intelligent tools for data collection, cleaning, and annotation.
Key Responsibilities:
  • Dataset Lifecycle Management: Oversee the collection, organizing, cleaning, and maintenance of large-scale, high-quality datasets for model training.
  • Pipeline Development: Build and maintain scalable data processing pipelines and automated intelligent agents to continuously ingest, clean, and enrich training data.
  • Quality & Benchmarking: Define, track, and optimize dataset quality metrics (e.g., diversity, absence of bias) to directly improve ML model performance.
  • Annotation & Labeling: Design and manage data annotation workflows, collaborating with domain experts to ensure clear, accurate classification protocols.
  • Governance & Compliance: Maintain data provenance, ensure compliance with data governance policies (e.g., GDPR, HIPAA if applicable), and enforce data security measures.

Qualifications:
  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a highly quantitative field.
  • Technical Skills:
    • Proficiency in programming languages like Python or SQL.
    • Experience with Big Data tools and cloud platforms (e.g., AWS, GCP, BigQuery).
    • Familiarity with ML frameworks (e.g., PyTorch, Hugging Face).
  • Experience: 3+ years managing large-scale datasets, developing data curation heuristics, and working alongside ML researchers or data scientists.
  • Analytical Mindset: Strong problem-solving skills to identify data quality anomalies, address model biases, and establish evaluation frameworks.

What do we provide:
  • A fun, supportive and engaging environment.
  • Infrastructures and computational resources to support your work.
  • Opportunity to work on cutting edge technologies with the top talents in the field.
  • Opportunity to make a significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.

The base salary range for this full-time position is $174,720 - $295,680, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

Apply