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Data Researcher Jobs in California (NOW HIRING)

We are looking to hire a Quantitative Researcher to join our Research & Data Analytics team. In this role you will contribute to generating originalresearch and building internal research & analytics ...

Researcher

Los Angeles, CA · Hybrid

$113K - $170K/yr

The team has deep expertise in working with established and emerging technologies, data analytics ... Position Summary The Researcher will be part of the global Practice Solutions team and will conduct ...

Data Acquisition and Investigator-Initiated Studies: Guide studies from proposal to publication ... Medical Research Background: A strong understanding of the medical research process, including ...

Clinical Researcher

Sunnyvale, CA · On-site

$127K - $140K/yr

Data Acquisition and Investigator-Initiated Studies: Guide studies from proposal to publication ... Medical Research Background: A strong understanding of the medical research process, including ...

AI Researcher

San Carlos, CA · On-site

$250K - $350K/yr

As the lab grows, researchers contribute where they have the most leverage, and the problems worth ... Model and Data Build large multi-modal generative world models that learn from robot experience ...

We translate that research into purpose-built models, agentic systems, new algorithms, optimization ... Develop scalable data curation and processing methods that improve model training and task-specific ...

Research Scientist, Data

Palo Alto, CA · On-site

$185K - $400K/yr

Prototype and productionize new methods for dataset creation, management, and continuous improvement in response to researcher needs * Contribute to the integration of research-driven data ...

Showing results 21-40

Data Researcher information

See California salary details

$29.6K

$111.6K

$162.3K

How much do data researcher jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data researcher in California is $111,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $152,000.00 per year, depending on experience, location, and employer.

What are the typical day-to-day responsibilities of a data researcher?

As a Data Researcher, your daily responsibilities usually involve gathering, cleaning, and analyzing large datasets, as well as creating reports and visualizations to present your findings. You may work closely with data scientists, business analysts, and subject matter experts to define research goals and ensure data accuracy. Regular tasks could also include monitoring trends, documenting sources, and communicating insights to various departments. This collaborative and investigative environment means you'll often balance independent work with team projects, fostering both technical and interpersonal skills.

What is a data researcher?

A Data Researcher is responsible for collecting, analyzing, and interpreting data to support business decisions, market research, or academic studies. They use various sources, such as databases, surveys, and reports, to gather relevant information. Data Researchers also clean and organize data, ensuring accuracy and reliability. Their work helps organizations identify trends, make informed decisions, and improve strategies based on data-driven insights.

What are the key skills and qualifications needed to thrive in the data researcher position, and why are they important?

To thrive as a Data Researcher, you need strong analytical skills, knowledge of statistics, and proficiency in data collection and analysis, often supported by a degree in a related field like statistics, mathematics, or computer science. Familiarity with tools such as Excel, SQL, Python, R, and data visualization platforms, as well as certifications in data science or analytics, is highly valuable. Attention to detail, curiosity, critical thinking, and effective communication make someone stand out in this position. These skills and qualities are crucial for accurately interpreting data, generating actionable insights, and effectively conveying findings to stakeholders.

What are popular job titles related to Data Researcher jobs in California? For Data Researcher jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Data Researcher jobs? Cities in California with the most Data Researcher job openings:
Infographic showing various Data Researcher job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $111,621 per year, or $53.7 per hour.

AI Research Scientist, Media Data Research - MSL FAIR

Meta

Menlo Park, CA • On-site

$154K - $217K/yr

Full-time

Re-posted 12 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies


Job description

Meta is seeking AI research scientists to help us build the data foundation for Meta's most advanced Large Language and Media Models. We're looking for researchers with LLM/LMM expertise to join us on working with data at scale and to push beyond the data ceiling. Our team contributes to data curation across all stages of LLM/LMM development (pre-training, mid-training, post-training) and all domains/modalities (image, video, agent, media perception and generation). We are tackling complex challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what is possible. Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you'll directly contribute to Meta's frontier models like Llama, while having the chance to collaborate with researchers and engineers across MSL.
Responsibilities
Collaborate with cross-functional teams to develop Meta's next foundational models
• Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data
• Fundamentally improve our data velocity across workflows and projects by contributing to quality in data tooling
• Execute on high priority projects in pre-training, mid-training, or post-training data curation
• Apply specialized expertise in video/image generation, video/image perception, OCR, data scaling laws, or data mixing
• Lead complex technical projects end-to-end
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD in Computer Science or a related technical field
• 1+ year of industry research experience in LLM/LMM, computer vision, or related AI/ML models
• Experience owning and/or driving complex technical projects from end-to-end
• Practical experience with multimodal pre-training or mid-training data curation for large media perception or generation models
• Published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV) and/or demonstrated significant industry influence in the field of AI
Preferred Qualifications
• Experience working on frontier-quality/ state-of-the-art Large Language or Large Media Models
• First-author publications at top peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV)
• Programming experience in Python and hands-on experience with frameworks like PyTorch or Spark, or related distributed computing frameworks (Ray, DataFlow)
• Familiarity with SQL and file formats, such as Hive, Iceberg, Parquet, etc
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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