Data Researcher Internships
Data researcher internships give university students, recent graduates, and early-career switchers hands-on project experience working with real datasets, mentorship from working data scientists and analysts, and, at many employers, a path toward a full-time offer. Openings are concentrated across {{top_industries_phrase}}, with NVIDIA, ByteDance, and Microsoft among the employers posting roles now.
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Research Scientist Intern, Synthetic Data for Computer Use Agents (PhD) Responsibilities:
- Research methods for generating diverse, challenging reinforcement learning (RL) tasks with reliable success checks.
- Develop ways to measure and control task difficulty.
- Evaluate agent performance and distinguish reasoning failures from problems in tasks or environments.
- Build reproducible experiments and communicate findings and limitations.
Minimum Qualifications:
- Currently has, or is obtaining, a PhD in computer science or a related field
- Proficiency in Python
- Experience designing and implementing machine learning experiments
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications:
- Proficiency in HTML, TypeScript, Docker, SQL & AWS
- Experience with language models, reinforcement learning, AI agents, automated planning, synthetic data, or evaluation methods
- Intent to return to the degree program after the completion of the internship
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.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Data Researcher Internship Market
Who's Hiring



Tips for Your Data Researcher Internship Search
Apply earlier than the posting suggests
Large employers close summer intern cohorts the fall before the internship starts, sometimes months before a role appears on a job board. Smaller companies and co-op programs post closer to start dates. Check listings in September and October for summer roles, and revisit regularly for programs that recruit on a rolling basis.
Build a project portfolio before you apply
Hiring teams for data researcher internships expect limited work history and look for proof of skill instead. Document two or three complete analyses, real datasets, the tools you used (Python, R, SQL, Excel), and your findings, and publish them somewhere reviewers can read the work, such as a GitHub repository or a written case study.
Work your campus network alongside direct applications
Campus career fairs surface structured internship programs tied to your university, and recruiters there often move faster than online screening. Professors and career center staff frequently know which employers recruit from your school before roles post publicly. Applying directly to smaller companies running their own cohorts alongside campus activity widens the pool you can reach.
Practice the technical screen out loud
Data researcher intern interviews typically include a technical or analytics screen covering quantitative reasoning, data interpretation, or a take-home analysis task. Practice explaining your approach as you work through problems, not just arriving at the answer. Interviewers weigh your reasoning process as heavily as the final result, so rehearse talking through your logic.
Target structured research internship programs early
Many larger employers run cohort-based research internship programs designed to train people new to the field, with mentorship tracks, defined project rotations, and dedicated recruiting timelines. These programs recruit early and fill in the first wave of applications. Identify the ones that fit your research interests and apply before the general posting cycle opens.
Set your work-type filter before you start
On-site roles are 60% of the data researcher internships listed here. Decide what you can commit to before you begin searching, whether that's fully remote, hybrid, or on-site in a specific city, then filter by location and work type so you're only reviewing roles you can actually accept.
Data Researcher Internships: Frequently Asked Questions
How do I get a data researcher internship?
Lead with coursework and personal projects rather than work history, hiring teams expect limited experience at the intern level. A portfolio of documented analyses, with the datasets used, tools applied, and your findings clearly presented, gives recruiters something concrete to assess. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a data researcher internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it is consistent performance on real project work, available headcount on the team, and how early the return-offer conversation starts. Position yourself by treating every assignment as a sample of your full-time work, without counting on the offer materializing.
When should I apply for data researcher internships?
Earlier than most expect. Large employers recruit summer interns the preceding fall, often closing applications before the calendar year turns. Smaller companies and co-op programs post closer to start dates, so openings appear year-round. Checking listings regularly means you won't miss a cohort that filled quietly months before the internship was set to begin.
Are data researcher internships paid?
Most professional data researcher internships in the U.S. are paid. Compensation varies by company size, industry, and location, and listings show it where the employer chooses to disclose it. Unpaid arrangements are more common at nonprofits and very small organizations, so read each posting carefully before applying.
What should a data researcher internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools and methods you used and link to the work itself, a GitHub repository, a published analysis, or a written case study. Add relevant coursework in statistics, data analysis, or research methods. Keep the whole document to one page.
Are there remote data researcher internships?
Yes. Remote and hybrid roles make up 40% of the data researcher internship listings here, with the rest on-site. Remote cohorts fill fast, so apply early and filter by work type to see them. Decide what you can realistically commit to before you start applying so you're not pursuing roles you can't accept.
Can international students get data researcher internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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