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Data Research Intern Jobs (NOW HIRING)

Labelbox

Applied Research Intern

San Francisco, CA

Role Overview As an Applied Research intern at Labelbox, you will design, build, and productionize ... Expertise in training data quality construction, measurement and refinement. * The ability to ...

CIBD

Research Intern

Orange, CA

$21 - $24/hr

Becoming a Research Intern at CIBD means you will gain enriching and diverse experience that will ... Responsible for data collection, analysis, literature reviews, report writing, and administrative ...

Priority Waste

The Market Research Intern supports the team by collecting, analyzing, and interpreting market data to help guide business decisions. This role involves studying industry trends, customer behavior ...

Duke University

CLINICAL RESEARCH INTERN

Durham, NC

Position Description The Clinical Research Intern will support multiple federally funded research ... Collecting, recording, and maintaining high-quality research data in accordance with study ...

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How much do data research intern jobs pay per hour?

As of May 30, 2026, the average hourly pay for data research intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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 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 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 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 cities are hiring for Data Research Intern jobs? Cities with the most Data Research Intern job openings:
What are the most commonly searched types of Data Research jobs? The most popular types of Data Research jobs are:
Data Research Intern jobs near you
Applied Research Intern

Applied Research Intern

Labelbox

San Francisco, CA

Other

Posted 25 days ago

Job description

Role Overview

As an Applied Research intern at Labelbox, you will design, build, and productionize evaluation and posttraining systems for frontier LLMs and multimodal models. You'll own continuous, high-quality evals and benchmarks (reasoning, code, agent/tooluse, longcontext, visionlanguage, et al.), create and curate posttraining datasets (human + synthetic), and prototype RLHF/RLAIF/RLVR/RM/DPOstyle training loops to measure and improve realworld task and agent performance.

Your Impact
  • Build and own evaluation and benchmark suites for reasoning, code, agents, longcontext, and V/LLMs.
  • Create posttraining datasets at scale: design preference/critique pipelines (human + synthetic), and target hard failures surfaced by evals.
  • Experiment and prototype RLHF/RLAIF/RLVR/RM/DPOstyle training loops to improve real-world task and agent performance.
  • Land research in product: ship improvements into Labelbox workflows, services, and customerfacing evaluation/quality features; quantify impact with customer and internal metrics.
  • Engage with customer research teams: run pilots, codesign benchmarks, and share practical findings through internal research reports, blog posts, talks, and published papers.
What You Bring
  • A strong foundation in AI and machine learning, backed by a Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field (in progress degrees are acceptable for intern positions).
  • A deep understanding of frontier autoregressive and diffusion multimodal models, along with the human and synthetic data strategies needed to optimize them.
  • Passion and experience for LLM evaluation and benchmarking.
  • Expertise in training data quality construction, measurement and refinement.
  • The ability to bridge research and application by interpreting new findings and translating them into functional prototypes.
  • A track record of publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and contributing to the broader research community.
  • Proficiency in Python and experience with deep learning frameworks like PyTorch, JAX, or TensorFlow.
  • Exceptional communication and collaboration skills.
Applied Research at Labelbox

At Labelbox Applied Research, we're committed to pushing the boundaries of AI and data-centric machine learning, with a particular focus on advancing human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios.

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