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Remote Intern Data Research Jobs (NOW HIRING)

Remote Intern Summer 2026

Manhattan, NY · Remote

$16.50 - $22/hr

Through lead generation and market research, you will learn how to develop different sectors of ... Requirements This is a fully remote program, so a reliable computer and internet connection is a ...

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Remote Intern Data Research information

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$12

$22

$42

How much do remote intern data research jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for remote intern data research 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 Remote Intern Data Researcher, and why are they important?

To thrive as a Remote Intern Data Researcher, you need strong analytical abilities, attention to detail, and foundational knowledge in data collection and analysis, often supported by coursework in statistics or related fields. Familiarity with tools such as Microsoft Excel, Google Sheets, and data visualization platforms like Tableau, as well as basic programming knowledge in Python or R, is typically required. Effective communication, self-motivation, and time management are important soft skills for collaborating remotely and meeting deadlines. These skills ensure accurate data handling, meaningful insights, and efficient remote teamwork in a research-focused environment.

What are some common challenges faced by Remote Interns in Data Research, and how can they be addressed?

Remote Interns in Data Research often face challenges such as limited face-to-face interaction with mentors, coordinating across different time zones, and maintaining clear communication about project goals. To overcome these, it's important to proactively schedule regular virtual check-ins, use collaborative tools (like Slack, Trello, or Google Workspace), and clarify expectations early on. Building a habit of documenting progress and asking for feedback can also help ensure alignment with the team and foster a supportive remote work environment.

What is a Remote Intern Data Research position?

A Remote Intern Data Research position involves working from a remote location to assist companies or organizations in collecting, analyzing, and interpreting data. Interns in this role typically support research projects by gathering information from various sources, cleaning and organizing datasets, and presenting findings in reports or presentations. This position helps interns gain valuable experience in data analysis tools and research methodologies, all while collaborating with teams virtually. It is ideal for students or recent graduates interested in data science, analytics, or research careers.

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

AspectRemote Intern Data ResearchRemote Data Analyst Intern
CredentialsBasic knowledge of data collection, research methods, and toolsBasic understanding of data analysis, Excel, and statistical concepts
Work EnvironmentPrimarily remote, often part-time or internship-basedPrimarily remote, often part-time or internship-based
Employer & IndustryResearch firms, market research companies, or data-driven organizationsTech companies, finance, marketing agencies, or consulting firms
Search & Comparison IntentUnderstanding research-focused internship rolesUnderstanding data analysis internship roles

Remote Intern Data Research and Remote Data Analyst Intern roles often share similar remote work environments and internship structures. However, Data Research focuses on gathering and analyzing data through research methods, while Data Analyst roles emphasize analyzing existing data sets using statistical tools. Both roles serve different functions within data-driven organizations but may overlap in skills and industry usage.

More about Remote Intern Data Research jobs
What cities are hiring for Remote Intern Data Research jobs? Cities with the most Remote Intern Data Research job openings:
What states have the most Remote Intern Data Research jobs? States with the most job openings for Remote Intern Data Research jobs include:
Infographic showing various Remote Intern Data Research job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 93% Full Time, 4% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Intern - Generative AI Developer (available now)

Intern - Generative AI Developer (available now)

Cotiviti

Remote

$32 - $40/hr

Other

Posted 4 days ago


Cotiviti rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

37th of 203 rated it services


Job description

Overview

The Generative AI Developer Intern focuses on researching and developing advanced healthcare informatics, particularly in the realm of Generative AI and emerging Artificial General Intelligence. It is designed to support improvements in healthcare treatment, payment, and operations. The intern will assist and take a primary role in developing, researching, creating analytical materials, and collaborating with various teams to drive AI-related projects.

We are currently looking for interns who can start immediately, 12 week internship, and work 40 hours per week. 

Responsibilities

Technical Expertise

  • Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI.
  • Assists in developing and improving LLMs and ML tools used across the organization.
  • Assists in establishing and maintaining an Artificial Intelligence Governance Program.
  • Gain hands-on experience in generative AI model development, architecture design, and database management.

Communication & Collaboration

  • Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
  • Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.

Leadership & Management

  • Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
  • Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
  • Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.

External Relationships & Partnerships

  • Supports vendor evaluations and contributes to collaborations with vendors.
  • Assists as a liaison between academic institutions, professional organizations, and research groups as needed.

Other

  • Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills. 
  • Complete all responsibilities and goals outlined in the internship program. 
  • Complete all special projects and other duties as assigned. 
  • Must be able to perform duties with or without reasonable accommodation. 

This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti's needs and requirements of the internship evolve.

Qualifications
  • Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD.
  • Demonstrated interest or experience in AI, healthcare technology, or informatics research.
  • Strong foundational knowledge in generative AI model development, architectures, and vector databases.
  • Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus.
  • Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.
  • Ability to work collaboratively and communicate effectively with cross-functional teams.

Mental Requirements:

  • Communicating with others to exchange information.
  • Assessing the accuracy, neatness, and thoroughness of the work assigned.

Physical Requirements and Working Conditions:

  • Remaining in a stationary position, often standing or sitting for prolonged periods.
  • Repeating motions that may include the wrists, hands, and/or fingers.
  • Must be able to provide a dedicated, secure work area.
  • Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
  • No adverse environmental conditions are expected.

Base compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. 

Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.

Date of posting: 5/14/2026

Applications are assessed on a rolling basis. We anticipate that the application window will close on 6/14/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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Employment Type: OTHER

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