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Data Research Jobs in California (NOW HIRING)

We are looking for an ML Data Researcher who will tackle this exact challenge. Your goal will be to design and conduct experiments on our data collection methods to discover techniques that reduce ...

We are looking for an ML Data Researcher who will tackle this exact challenge. Your goal will be to design and conduct experiments on our data collection methods to discover techniques that reduce ...

Velvet is a data research company focused on building datasets for multimodal AI. They are seeking a Research Scientist to develop and fine-tune models for video and audio data processing and ...

About idler idler is a frontier data research lab. We build the evals and environments that the world's leading frontier labs use to measure and train their models. After raising a $9m seed round led ...

Research Scientist

San Francisco, CA · On-site

$200K - $500K/yr

About idler idler is a frontier data research lab. We build the evals and environments that the world's leading frontier labs use to measure and train their models. After raising a $9m seed round led ...

Research Engineer

Redwood City, CA · On-site

$180K - $300K/yr

Training on curated data can dramatically reduce training time and cost ( 7-40x faster training ... About the Role As a Research Engineer, you will play a crucial role in conducting and enabling ...

Research Scientist

San Francisco, CA · On-site

$200K - $500K/yr

About idler idler is a frontier data research lab. We build the evals and environments that the world's leading frontier labs use to measure and train their models. After raising a $9m seed round led ...

Research Scientist

San Francisco, CA · On-site

$210K - $360K/yr

We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is ...

Research Engineer

San Mateo, CA · On-site

$180K - $300K/yr

Training on curated data can dramatically reduce training time and cost ( 7-40x faster training ... For more details, check out our recent research on synthetic data scaling (BeyondWeb) and ...

This role applies research and data analysis expertise to build and maintain robust prospect pools, support data-driven fundraising strategies, and inform donor engagement efforts. This position is ...

Research Engineer

Redwood City, CA · On-site

$180K - $300K/yr

Training on curated data can dramatically reduce training time and cost ( 7-40x faster training ... For more details, check out our recent research on synthetic data scaling (BeyondWeb) and ...

This role applies research and data analysis expertise to build and maintain robust prospect pools, support data-driven fundraising strategies, and inform donor engagement efforts. This position is ...

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Data Research information

See California salary details

$8

$26

$65

How much do data research jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data research in California is $26.61, according to ZipRecruiter salary data. Most workers in this role earn between $14.59 and $31.54 per hour, depending on experience, location, and employer.

What is a data research?

A Data Research job involves collecting, analyzing, and interpreting data to support decision-making and business strategies. Professionals in this role gather information from various sources, clean and organize datasets, and identify trends or patterns. They often use statistical tools and software to extract meaningful insights. Data researchers work in industries like finance, marketing, healthcare, and technology, helping organizations make data-driven decisions. Strong analytical skills, attention to detail, and proficiency in data tools are essential for success in this role.

What are the typical daily responsibilities of someone working in data research?

A Data Research professional typically spends their day gathering large datasets from various sources, cleaning and organizing data, and conducting in-depth analyses to identify trends and meaningful insights. They often collaborate closely with other data professionals, business analysts, and cross-functional teams to understand project goals and deliver relevant findings. In addition, they prepare reports or visualizations to communicate their results and may present these to stakeholders. The role often requires adaptability, as project priorities and data sources can evolve frequently, making each day varied and engaging.

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

To thrive as a Data Research professional, you need strong analytical skills, attention to detail, familiarity with data collection methods, and typically a degree in a relevant field like statistics, mathematics, or information science. Proficiency with data analysis tools such as Excel, SQL, Python, R, and experience with data visualization platforms like Tableau or Power BI are commonly required, and specialized certifications in data analytics can be advantageous. Key soft skills include curiosity, critical thinking, collaboration, and effective communication to present findings clearly. These abilities are crucial for ensuring accurate data collection, insightful analysis, and actionable recommendations to support organizational decision-making.

What are the most commonly searched types of Data Research jobs in California?

The most popular types of Data Research jobs in California are:

What cities in California are hiring for Data Research jobs?

Cities in California with the most Data Research job openings:

Infographic showing various Data Research job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $55,344 per year, or $26.6 per hour.

ML Data - Research Scientist

Cupertino, CA

Apple
Computer and Electronic Product Manufacturing • 10K+ employees

$184K - $277K/yr

Full-time

Medical, Dental, Retirement

Re-posted 22 days ago


Key responsibilities

  • Design and conduct experiments on data collection methods to evaluate their impact on model convergence and performance

  • Develop new techniques for collecting, labeling, and interpreting multi-modal human data to improve data quality and reliability

  • Analyze and report findings from data collection experiments to inform improvements in data pipelines, labeling guidelines, and dataset design


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz


Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product.
Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple's customers every single day.
Description
When collecting multi-modal human data, establishing a reliable "ground truth" can be notoriously difficult and subjective. We are looking for an ML Data Researcher who will tackle this exact challenge. Your goal will be to design and conduct experiments on our data collection methods to discover techniques that reduce subjectivity, improve signal quality, and ultimately help our multi-modal models converge faster and achieve higher performance.","responsibilities":"Define research topics and data strategies aligned with model performance and product requirements
Design, build, and run controlled experiments to evaluate how data collection methods, quality, and composition affect model convergence and downstream performance
Design new ways to collect, label, and interpret multi-modal human data, translating insights into improved collection protocols and data specifications
Design novel methods to collect, analyze, and interpret multi-modal human data, translating these insights into highly reliable "ground truth" specifications
Characterize the practical and statistical limits of data collection setups (sensors, protocols, annotation pipelines) to inform feasibility and define data requirements
Develop and analyze real-world data collection experiments (e.g., A/B tests on collection methodology, sampling strategy, labeling schemes) to support model training work
Analyze and report results clearly, translating findings into actionable recommendations for data pipelines, labeling guidelines, and dataset design
Partner with multidisciplinary teams across hardware, software, research, and ML engineering to drive data collection from concept to production-scale
Preferred Qualifications
MS/PhD in Computer Science, Machine Learning, Statistics, Neuroscience, or a closely related field
10 years of relevant industry experience
Experience with multi-modal human data (e.g., video, audio, motion capture) and the challenges of establishing ground truth for such data
Familiarity with human probing/annotation methods and inter-rater reliability techniques
Experience designing data collection experiments and interpreting their effect on model training/convergence
Outstanding communicator with the ability to present complex technical findings to diverse audiences
Collaborative team player who thrives in multidisciplinary, cross-functional environment
Minimum Qualifications
BS in Computer Science, Machine Learning, Statistics, Neuroscience, or a closely related field
Hands-on experience in a data-oriented, experimentation-heavy role, ideally supporting ML model development
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976