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Remote Research Intern Jobs in Reston, VA (NOW HIRING)

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Consulting Intern

Washington, DC ยท Remote

$15.25 - $20.50/hr

Synopsis - this position would focus on market research in the commercial space & work on business pitches to middle-market companies in range of industries with a focus on sales, marketing ...

New

Be Seen First

Consulting Intern

Washington, DC ยท Remote

$15.25 - $20.50/hr

Synopsis - this position would focus on market research in the commercial space & work on business pitches to middle-market companies in range of industries with a focus on sales, marketing ...

New

Youth Safeguarding & Autonomy Intern

Arlington, VA ยท On-site +1

$17.25 - $23/hr

Conduct research on the insurance landscape affecting youth-serving organizations, including ... You are comfortable working independently in a remote environment and collaborating across a ...

Job Summary The Digital Marketing Intern supports the Communications and Marketing team in ... Emerging Media & Trend Research * Monitors trends in digital marketing, social media platforms, and ...

Youth Safeguarding & Autonomy Intern

Arlington, VA ยท Remote

$17.25 - $23/hr

Conduct research on the insurance landscape affecting youth-serving organizations, including ... You are comfortable working independently in a remote environment and collaborating across a ...

Public Policy Intern

Washington, DC ยท On-site +1

$23/hr

Monitor, research, analyze and interpret federal and state legislation, policy proposals and ... Remote and hybrid opportunities * Inclusive workplace, providing strong professional growth and ...

Showing results 21-40

Remote Research Intern information

See Reston, VA salary details

$2.2K

$6.7K

$8.1K

How much do remote research intern jobs pay per month?

As of Aug 21, 2026, the average monthly pay for remote research intern in Reston, VA is $6,699.33, according to ZipRecruiter salary data. Most workers in this role earn between $4,591.67 and $7,975.00 per month, depending on experience, location, and employer.

What is a remote research intern?

Remote research interns are students or recent graduates who assist in academic or industry research projects while working from a location outside the traditional office or laboratory setting. They typically carry out tasks such as data collection, literature reviews, data analysis, and report writing under the supervision of a mentor or research lead. This role offers flexibility and allows interns to gain valuable research experience and contribute to ongoing studies using virtual collaboration tools. Remote research internships are common in fields like social sciences, computer science, public health, and more. These positions help interns develop research skills, enhance their resumes, and build professional networks remotely.

What skills and qualifications are needed to thrive as a remote research intern?

To thrive as a Remote Research Intern, you typically need strong analytical abilities, academic research experience, and proficiency in data collection, often supported by enrollment in a relevant degree program. Familiarity with tools like Microsoft Office, Google Workspace, citation management software, and sometimes basic statistical or data visualization programs is advantageous. Strong communication, self-motivation, and time management skills help interns excel in a remote environment and collaborate effectively. These skills and qualities are crucial for delivering high-quality research outcomes while working independently and meeting deadlines.

What are common challenges faced by remote research interns, and how can they be addressed?

Remote Research Interns often encounter challenges such as limited access to in-person mentorship, difficulty maintaining regular communication, and managing their own schedules effectively. To overcome these, it's helpful to establish clear expectations with your supervisor, schedule regular virtual check-ins, and use project management tools to stay organized. Proactively seeking feedback and participating in online team discussions can also enhance your learning experience and help you stay connected with the team.

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

AspectRemote Research InternRemote Data Analyst
Required CredentialsTypically pursuing or recent graduate in relevant fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentRemote, often part-time or internship settingRemote, full-time or project-based roles
Employer & Industry UsageResearch institutions, universities, startupsTech companies, finance, healthcare, consulting
Common Search & ComparisonYesNo

The main difference is that a Remote Research Intern typically focuses on assisting with research projects, data collection, and literature reviews, often as a student or recent graduate. In contrast, a Remote Data Analyst analyzes data sets to generate insights, requiring more advanced data skills and experience. Both roles are remote and industry-relevant, but they serve different functions within organizations.

What are the most commonly searched types of Remote Research jobs in Reston, VA?

The most popular types of Remote Research jobs in Reston, VA are:

What are popular job titles related to Remote Research Intern jobs in Reston, VA?

For Remote Research Intern jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Remote Research Intern jobs in Reston, VA look for?

The top searched job categories for Remote Research Intern jobs in Reston, VA are:

What cities near Reston, VA are hiring for Remote Research Intern jobs?

Cities near Reston, VA with the most Remote Research Intern job openings:

Infographic showing various Remote Research Intern job openings in Reston, VA as of August 2026, with employment types broken down into 45% Internship, and 55% Part Time. Highlights an 100% Remote job distribution, with an average salary of $80,392 per year, or $38.6 per hour.

Data Scientist & Machine Learning Engineer Intern

DMS International

Silver Spring, MD โ€ข On-site, Remote

Part-time, Internship

Posted 19 hours ago

Posted today


Job description

Data Management Services, Inc. (DMS International) is a professional services firm headquartered in Silver Spring, Maryland, with work locations throughout the continental United States. We prepare managers and executives to lead their workforce through customized learning solutions that drive the standards of an ever-changing world. We build creative, unique, and engaging learning experiences for commercial, civilian and defense organizations. Our high-caliber talent, delivery methodology and innovative solutions contribute to preparing a workforce that is ready for the future. You can join us on this journey to bring efficiency and creativity to our customers.
At DMS, we are the catalyst for effective workforce transformation. To achieve this, we hire professionals who take pride in doing quality work and who are excited about contributing to the professional development of tomorrow's leaders.
DMS seeks candidates that possess and display the attributes that reflect our Core Values of:
  • Quality in delivering solutions
  • Leadership
  • Teamwork
  • Innovation
  • Integrity in conduct
  • Responsiveness to our customer's mission.

DMS International is an Equal Opportunity Employer. We make employment decisions without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, pregnancy, childbirth, lactation and related medical conditions, genetic factors, military/veteran status, or other characteristics protected by law. We encourage individuals from all backgrounds to apply.
Job Description
DMS is seeking a Data Scientist & Machine Learning Engineer Intern to join our technical team. The intern will support the design, development, testing, and implementation of AI-powered products for content creation, learning, training, simulations, and decision support. Working under the supervision of the AI and Simulation Program Manager, the intern will collaborate with developers, instructional designers, simulation specialists, and subject matter experts to transform data and emerging AI technologies into practical applications.
Responsibilities
  • Support the development of Generative AI and Large Language Model (LLM) applications, including prompt engineering and Retrieval-Augmented Generation (RAG)
  • Develop AI capabilities for transforming source documents into courses, learning content, assessments, scenarios, case studies, and other digital content
  • Assist in developing AI-powered simulations and serious games, including dynamic scenarios, intelligent agents, participant analytics, and after-action reports
  • Collect, clean, analyze, and visualize structured and unstructured data
  • Develop natural language processing (NLP) solutions for document summarization, semantic search, classification, information extraction, and question answering
  • Build prototypes and integrate AI/ML models with applications through APIs and cloud services
  • Conduct model testing and evaluation for performance, accuracy, reliability, bias, and hallucinations
  • Support responsible AI practices, model documentation, data governance, and AI risk management
  • Develop, train, test, and evaluate machine learning and predictive models
  • Research emerging technologies such as agentic AI, multimodal AI, synthetic data, digital twins, knowledge graphs, and adaptive learning

Required Skills & Experience
  • Familiarity with machine learning frameworks such as Scikit-learn, PyTorch, and/or TensorFlow
  • Knowledge of Generative AI concepts, LLMs, prompt engineering, embeddings, RAG, and/or Hugging Face
  • Familiarity with REST APIs, Git/GitHub, and basic application development
  • Knowledge of statistical analysis, data visualization, and predictive modeling
  • Strong analytical and problem-solving skills
  • Curiosity about emerging AI technologies and willingness to experiment and learn
  • Ability to work independently and collaboratively within a multidisciplinary team
  • Experience through academic projects, research, hackathons, personal projects, or internships involving machine learning, Generative AI, NLP, simulations, analytics, or AI application development is preferred
  • GitHub portfolio or examples of AI/ML projects are encouraged
  • Experience or coursework in Python, SQL, Pandas, NumPy, and Jupyter Notebook
  • Exposure to OpenAI, Azure OpenAI, IBM watsonx, AWS/GCP AI services, LangChain, LlamaIndex, vector databases, FastAPI, Django, Flask, or Docker is a plus.

Education
  • Currently pursuing or recently completed a Bachelor's, Master's, or doctoral degree in Computer Science, Data Science, Artificial Intelligence/Machine Learning, Statistics, Applied Mathematics, Computer or Software Engineering, Information Systems, Operations Research, or a related quantitative or technical field

Position Type
  • Part-time Intern

Location
  • Remote