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Data Research Intern Jobs in California (NOW HIRING)

Enovix

R&D Intern

Fremont, CA · On-site

$40 - $45/hr

Battery R&D Internship Enovix is seeking an R&D Intern to support the design, fabrication, testing ... Develop clear, data-driven recommendations to guide silicon anode material and cell design.

Enovix Corporation

R&D Intern

Fremont, CA · On-site

$40 - $45/hr

Battery R&D Internship Enovix is seeking an R&D Intern to support the design, fabrication, testing ... Develop clear, data-driven recommendations to guide silicon anode material and cell design.

Enovix Corporation

R&D Intern

Fremont, CA · On-site

$40 - $45/hr

Battery R&D Internship Enovix is seeking an R&D Intern to support the design, fabrication, testing ... Develop clear, data-driven recommendations to guide silicon anode material and cell design.

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

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Data Research Intern information

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How much do data research intern jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data research intern in California is $22.21, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 per hour, depending on experience, location, and employer.

What does a data research intern do?

A Data Research Intern assists in collecting, analyzing, and interpreting data to help organizations make informed decisions. Their responsibilities often include cleaning data sets, conducting literature reviews, supporting research projects, and preparing reports or presentations based on their findings. Interns may also use tools like Excel, Python, or R to process data and gain insights. This role provides hands-on experience in both quantitative and qualitative research methods and often serves as a foundation for a career in data analysis or research.

What types of projects and tasks can a data research intern expect to work on during their internship?

As a Data Research Intern, you can expect to be involved in a variety of projects, such as gathering and cleaning large datasets, conducting exploratory data analysis, and supporting senior analysts with research tasks. You may help design surveys, scrape data from public sources, or assist in building dashboards and reports. Collaboration is common, as you'll often work closely with data scientists, business analysts, and other interns to solve real-world business problems. This hands-on experience provides valuable exposure to industry-standard tools and workflows, helping you build practical skills for a future career in data.

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

To thrive as a Data Research Intern, you need strong analytical skills, attention to detail, and a foundational understanding of statistics and research methodologies, typically gained through coursework in data science, mathematics, or a related field. Familiarity with data analysis tools such as Excel, Python, R, and experience with databases or visualization platforms like Tableau is highly valuable. Curiosity, effective communication, and problem-solving abilities help interns stand out when interpreting data and presenting findings. These skills are crucial for accurately collecting, analyzing, and conveying insights that support organizational decision-making.

What is the difference between Data Research Intern vs Data Analyst?

AspectData Research InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentInternship setting, often in research or academic projectsFull-time or part-time in corporate, tech, or consulting firms
Employer & Industry UsageResearch institutions, universities, tech startupsBusinesses across industries, including finance, marketing, tech
Search & Comparison IntentUnderstanding entry-level research roles, internshipsAnalyzing data roles, career progression

While both roles involve working with data, a Data Research Intern typically focuses on assisting with research projects and gaining experience, often as a student or recent graduate. A Data Analyst usually handles data analysis tasks in a professional setting, making data-driven decisions for organizations. The roles differ mainly in experience level, scope, and employment setting.

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 Intern jobs?

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

Data Research Intern jobs near you

Research Intern, Computer Vision

Attentive

San Francisco, CA • On-site

Other

Posted 5 days ago

Job description

About Attentive.ai:
Attentive.ai builds AI for construction and field services. Our takeoff and estimating platform, Beam AI, is used by 1,200+ contractors across the US and Canada and has completed over 500,000 takeoffs. Attentive.ai is transforming the field services and construction industries with our flagship AI solution - Beam AI. Our platform empowers businesses to double their bidding capacity and accelerate growth through automation and intelligent insights. More than 1k+ businesses across the U.S. and Canada already use our products to boost sales velocity and streamline operations. We have raised $30.5M in Series B funding, accelerating our mission to make advanced AI tools accessible, practical, and impactful in the real world. We are proudly Backed by Insight Partners, Peak XV (Surge), InfoEdge, Tenacity and Vertex Ventures.
About the Role:
As a Research Intern, you'll work on the computer vision and deep learning that power automated takeoff and estimation. The core problem is unsolved: a plan set is hundreds of pages drafted to dozens of CAD conventions, where the same primitive is a wall, a hatch pattern, or a leader line depending on context a model has to infer.
You'll own one scoped research problem end to end, paired with a senior researcher - framing it, running the experiments, and building a prototype evaluated on real data. It won't be a side project; it'll be something on the team's roadmap.
What You'll Do:
  • Own one research problem end to end: framing, data, experiments, and a prototype that runs on real drawings
  • Train and evaluate deep learning models for object detection, segmentation, or structured extraction on vector and raster construction drawings
  • Explore self-supervised and representation learning on our corpus of unlabeled drawings
  • Work with multimodal signals, combining visual layout, geometry, and text
  • Design the evaluation for your problem, and present results to the research team
What We're Looking For:
  • Currently pursuing a Master's, or PhD in Computer Science, AI/ML, Data Science, Mathematics, Electrical Engineering, or a related field
  • Strong foundations in Python and at least one deep learning framework (PyTorch or TensorFlow)
  • Coursework or project experience in computer vision, image processing, or machine learning
  • Curiosity about applied research and a willingness to iterate quickly on ideas
  • Comfortable working in a fast-paced, startup-like environment with close collaboration
  • Clear written and verbal communication skills
Nice to have:
  • Prior research experience, publications, or projects in computer vision or deep learning
  • Familiarity with vector graphics and CAD formats (SVG, DXF, DWG, IFC)
  • LLM and NLP experience like structured extraction, retrieval over long documents
  • Experience with cloud environments (GCP, AWS, or Azure)
How We Work:
  • Empirical over theoretical - we'd rather run the experiment than argue about it
  • Truth-seeking, including about our own results. A negative result reported early is worth more than a positive one defended late
  • Research is judged by whether it holds up in front of 1,200 contractors, not by whether it's clever
  • Honest feedback, given directly

Compensation:
The stipend range for this role is 80-90$ per hour. The final offer depends on experience and level.

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