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Data Curation Intern Jobs (NOW HIRING)

Curatorial Intern

Washington, DC · On-site

$17 - $22.75/hr

This intern will work directly under the Curator of Global Contemporary Art. This is a hybrid ... Complete data entry. * Gather digital images and prepare PowerPoints. * Organize curatorial ...

New

Develop scalable workflows for data curation, data quality improvements, and distributed training ... intern experience. About Adobe Adobe empowers everyone to create through innovative platforms and ...

Staff Applied Scientist

San Jose, CA · On-site

$164K - $313K/yr

... data curation, data quality improvements, and distributed training. • Partner closely with ... intern experience. About Adobe Adobe empowers everyone to create through innovative platforms and ...

Senior Applied Scientist

San Jose, CA · On-site

$164K - $313K/yr

Develop scalable workflows for data curation, data quality improvements, and distributed training ... intern experience. About Adobe Adobe empowers everyone to create through innovative platforms and ...

Senior Applied Scientist

San Jose, CA · On-site

$164K - $313K/yr

... data curation, data quality improvements, and distributed training. • Partner closely with ... intern experience. About Adobe Adobe empowers everyone to create through innovative platforms and ...

The internship will involve writing news stories, curating social media posts, and some additional ... Personal data collected is for recruitment purpose only. To ensure our hiring process is efficient ...

Editorial Intern

New York, NY · On-site

$19 - $20/hr

The internship will involve writing news stories, curating social media posts, and some additional ... Personal data collected is for recruitment purpose only. To ensure our hiring process is efficient ...

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Data Curation Intern information

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$8

$17

$24

How much do data curation intern jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for data curation intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What does a Data Curation Intern do?

A Data Curation Intern assists with organizing, cleaning, and managing data sets to ensure their quality and usability for research, analysis, or business operations. Their tasks often include validating data accuracy, annotating and labeling data, updating metadata, and supporting the development of data management protocols. This role helps ensure that data is reliable, well-documented, and easily accessible for colleagues and stakeholders.

What are the key skills and qualifications needed to thrive as a Data Curation Intern, and why are they important?

To thrive as a Data Curation Intern, you need a solid understanding of data management principles, attention to detail, and familiarity with data organization, typically supported by coursework in information science or related fields. Proficiency with database systems, spreadsheet software (like Excel), and data visualization tools is often required. Strong analytical thinking, problem-solving, and effective communication are valuable soft skills in this role. These skills ensure accurate, organized, and accessible data, which are crucial for supporting research and business decision-making.

What are some common challenges faced by Data Curation Interns when handling large datasets, and how can they be addressed?

Data Curation Interns often encounter challenges such as inconsistent data formats, missing values, and duplicate records when working with large datasets. Addressing these issues typically involves using data cleaning tools, developing scripts to standardize formats, and collaborating closely with data engineers or analysts to ensure data integrity. Proactive communication and a systematic approach to documenting changes are essential for maintaining data quality and supporting downstream analysis.

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

AspectData Curation InternData Analyst Intern
Required SkillsData management, organization, basic database knowledgeData analysis, statistical skills, Excel, visualization tools
Work EnvironmentData repositories, research labs, data teamsBusiness, finance, marketing departments
Typical TasksData cleaning, metadata creation, data quality checksData analysis, reporting, trend identification

The Data Curation Intern focuses on organizing and maintaining data quality, ensuring datasets are accurate and well-structured. In contrast, the Data Analyst Intern interprets data to generate insights and support decision-making. Both roles require familiarity with data tools, but their core responsibilities differ in scope and purpose.

More about Data Curation Intern jobs
What cities are hiring for Data Curation Intern jobs? Cities with the most Data Curation Intern job openings:
What are the most commonly searched types of Data Curation jobs? The most popular types of Data Curation jobs are:
What states have the most Data Curation Intern jobs? States with the most job openings for Data Curation Intern jobs include:
Infographic showing various Data Curation Intern job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 2% Full Time, 90% Part Time, and 3% Nights. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.
AI/ML Scientist Intern, AIMS AI Foundations (PhD) - Fall 2026

AI/ML Scientist Intern, AIMS AI Foundations (PhD) - Fall 2026

Netflix

Los Gatos, CA • On-site

Full-time, Internship

Medical, Life, Retirement, PTO

Posted 9 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

59th of 67 rated media


Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films, and games across a wide variety of genres and languages. Members can play, pause, and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
The AIMS AI Foundations team sits within the AI for Member Systems (AIMS) organization and focuses on the research and engineering foundations that underpin next-generation member experiences. Our work spans agentic AI systems, LLM evaluation frameworks, multimodal modeling and training data curation. We work at the intersection of applied research and product impact, translating novel ideas into measurable improvements for Netflix members worldwide.
We are seeking a PhD intern to join us for a Fall 2026 engagement (targeting a September 2026 start, with flexibility). This is a hands-on applied research role: you will be expected to design and run experiments, build prototypes, and contribute meaningfully to ongoing team projects in one or more of our core domain areas.
Domain Areas
Interns will be matched to projects within one or more of the following focus areas:
  • Agentic AI - Developing and evaluating systems that reason, plan, and act autonomously, including tool use, retrieval-augmented reasoning, memory and goal management, and feedback-driven learning.
  • LLM Evaluations - Designing rigorous evaluation frameworks, benchmarks, and quality metrics to assess language model behavior, reliability, and alignment.
  • Multimodal Data - Building models and pipelines that integrate text, image, video, audio, and other data modalities; experience with large vision-language models and modality fusion.
  • LLM Training Data Curation - Researching and implementing methods for selecting, filtering, and improving training data quality to enhance model performance.
Qualifications
Must Have
  • Currently enrolled PhD student in Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Cognitive Science, or a related field
  • Able to work 40 hours per week during the fall/winter
  • Proficiency in Python
  • Strong foundation in machine learning, deep learning, and algorithms/statistics
  • Experience with one or more major ML frameworks: PyTorch, TensorFlow, or JAX
  • Ability to design, run, and interpret ML experiments in an applied research setting
  • Ability to translate research ideas into practical prototypes and evaluations
  • Strong oral and written communication skills for presenting technical work clearly
Nice to Have
  • Coursework or research experience in advanced NLP, advanced ML systems, or reinforcement learning
  • Familiarity with HuggingFace, Transformers, Pandas, NumPy, and scikit-learn
  • Publications in top venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI, CIKM, WWW, UAI, CVPR, or related
  • Experience with agentic systems, multimodal modeling, or applied LLM workflows
  • Exposure to evaluation design, benchmarking, and model quality tradeoffs
  • Familiarity with distributed computing environments such as Spark or Presto
  • Comfortable with software engineering best practices (version control, testing, code review)

About the Internship
At Netflix, we offer a personalized experience for interns. Our aim is to provide an experience that mirrors what it is truly like to work here. Interns are fully embedded within their team, own meaningful projects, and operate with the same autonomy as full-time employees.
  • Internship duration: minimum 12 weeks, targeting a September 2026 start date
  • Location: Los Gatos, CA headquarters or remote; flexible depending on team
  • This program is intended for students who will be returning to school for at least one semester/quarter following the internship

For Your Application to Be Considered Complete
  • Submit your application on our Netflix Careers site
  • Complete the Airtable supplemental form sent after initial application submission - applications are not considered complete without it
  • Include a resume or CV with complete contact information, relevant coursework, and publications (if applicable)
  • Include a short statement describing your research experience and interests, and optionally their relevance to the AIMS AI Foundations team's focus areas
  • Applications are reviewed on a rolling basis. For inspiration, visit the Netflix Research site.

At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. The overall market range for Netflix Internships is typically $40/hour - $85/hour.
This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997