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Intern Data Annotation Tech Jobs in Fairfax, VA (NOW HIRING)

Data Scientist

Ashburn, VA · On-site

$99K - $164K/yr

We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results ... Support exploratory data analysis, feature development, image-data preparation, annotation ...

Data Scientist

Ashburn, VA · On-site

$99K - $164K/yr

We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results ... Support exploratory data analysis, feature development, image-data preparation, annotation ...

We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results ... Support exploratory data analysis, feature development, image-data preparation, annotation ...

Role Fannie Mae's Technology Program Intern is a 10-week, paid internship (June 7, 2027 - August 13 ... Build data pipelines, manage data platforms, monitor production logs, and triage issues. * Apply AI ...

2027 Intern - Technology

Adelphi, MD · On-site

$15 - $20/hr

Technology Intern Our technology interns work with corporations, governments and law firms to meet ... Consultants will start by learning a range of skills around data including e-discovery, digital ...

2027 Intern - Technology

Adelphi, MD

$15 - $20/hr

Technology Intern Our technology interns work with corporations, governments and law firms to meet ... Consultants will start by learning a range of skills around data including e-discovery, digital ...

2027 Intern - Technology

Rockville, MD · On-site

$15.25 - $20.50/hr

Technology Intern Our technology interns work with corporations, governments and law firms to meet ... Consultants will start by learning a range of skills around data including e-discovery, digital ...

2027 Intern - Technology

Annandale, VA · On-site

$15 - $20/hr

Technology Intern Our technology interns work with corporations, governments and law firms to meet ... Consultants will start by learning a range of skills around data including e-discovery, digital ...

2027 Intern - Technology

Annandale, VA

$15 - $20/hr

Technology Intern Our technology interns work with corporations, governments and law firms to meet ... Consultants will start by learning a range of skills around data including e-discovery, digital ...

2027 Intern - Technology

Rockville, MD

$15.25 - $20.50/hr

Technology Intern Our technology interns work with corporations, governments and law firms to meet ... Consultants will start by learning a range of skills around data including e-discovery, digital ...

(ID: 2026-2574) Axle is a bioscience and information technology company that offers advancements in ... annotation, DEG), and Digital Spatial Profiling (annotation, QC, normalization, spatial ...

Showing results 41-60

Intern Data Annotation Tech information

What is an intern data annotation tech?

Intern Data Annotation Techs are entry-level professionals, often students or recent graduates, who support machine learning projects by labeling and categorizing data, such as images, text, or audio. Their work is essential for training AI systems, as accurately annotated data helps algorithms learn to make correct predictions. These interns typically use specialized software tools to tag or classify data according to specific guidelines. The role requires attention to detail, consistency, and sometimes basic technical skills, depending on the complexity of the data and tasks. Internships in data annotation can provide valuable exposure to the fields of artificial intelligence and data science.

What are the key skills and qualifications needed to thrive as an intern data annotation tech?

To thrive as an Intern Data Annotation Tech, you need attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or ongoing college coursework. Experience with annotation platforms, spreadsheet tools, and sometimes basic scripting languages is helpful. Strong communication, reliability, and the ability to follow detailed instructions are valuable soft skills in this role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable machine learning models.

What are some common challenges faced by intern data annotation techs, and how can they overcome them?

Intern Data Annotation Techs often encounter challenges such as maintaining consistency in labeling large datasets and understanding nuanced instructions for annotation tasks. To overcome these hurdles, it's important to ask clarifying questions early on, regularly review annotation guidelines, and participate in team discussions about edge cases. Collaboration with more experienced annotators and feedback from supervisors also help in refining skills and ensuring high-quality data preparation. Developing attention to detail and adaptability will contribute to a successful internship experience.

What is the difference between Intern Data Annotation Tech vs Intern Data Labeler?

AspectIntern Data Annotation TechIntern Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentData annotation platforms, remote or officeData labeling platforms, remote or office
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnnotating data for training AI modelsLabeling data for machine learning algorithms

Both roles involve preparing data for AI systems, with similar skills and work environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes technical annotation tasks, while 'Data Labeler' is a more general term. Both are entry-level positions vital for training AI models in the tech industry.

Can I do data annotation with no experience?

Intern Data Annotation Tech roles often do not require prior experience, as training is typically provided to teach skills like image or text labeling using annotation tools. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation software and understanding data quality standards can improve job performance over time.

Does data annotation tech actually pay?

Data annotation technicians are paid for their work, with wages typically ranging from minimum wage to higher rates depending on experience, complexity of tasks, and the employer. Payment is usually hourly or per task, and some roles may require basic skills in data labeling tools or software. Compensation varies by company and location but generally provides a reliable income for entry-level positions.

Is it hard to get hired for data annotation?

Getting hired as a data annotation intern typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. Many positions are entry-level and may not require extensive experience, making the application process relatively accessible for beginners. However, competition can vary depending on the company and location.

What are popular job titles related to Intern Data Annotation Tech jobs in Fairfax, VA?

For Intern Data Annotation Tech jobs in Fairfax, VA, the most frequently searched job titles are:

What job categories do people searching Intern Data Annotation Tech jobs in Fairfax, VA look for?

The top searched job categories for Intern Data Annotation Tech jobs in Fairfax, VA are:

Infographic showing various Intern Data Annotation Tech job openings in Fairfax, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Information Technology Intern (Graduate Student)

AARP

Washington, DC • On-site

$17 - $22.75/hr

Internship

This job post has expired today. Applications are no longer accepted.


AARP rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

145th of 786 rated non-profit organizations


Job description

Overview

AARP is the nation's largest nonprofit, nonpartisan organization dedicated to empowering people 50 and older to choose how they live as they age. With a nationwide presence, AARP strengthens communities and advocates for what matters most to the more than 100 million Americans 50-plus and their families: health and financial security, and personal fulfillment. AARP also works for individuals in the marketplace by sparking new solutions and allowing carefully chosen, high-quality products and services to carry the AARP name. As a trusted source for news and information, AARP produces the nation's largest-circulation publications, AARP The Magazine and the AARP Bulletin.

Information Technology Services is responsible for AARP enterprise-wide technology and information security functions. Services range from infrastructure design and operations, system and software lifecycle implementations, enabling the mobile workforce and protecting AARP network, systems and data. A variety of technologies and practices are used including cloud computing, automation, artificial intelligence and machine learning within highly collaborative Agile teams.

Are you a graduate student seeking to put your solid computer science, technology, business, and people skills into practice? Do you have a passion for thinking and acting in an agile manner and implementing ideas that impact the 50+ community? Then AARP's Information Technology Services (ITS) team is looking for you! The ITS mission is to design, deliver, operate, and promote technology solutions that enable AARP to achieve its goals.

As a Technology Intern, you will apply strategic, analytical, and creative thinking to solve challenging technology problems. On any given day, you could be working with Information Technology Engineers, Platform Managers, Business Partners, or IT Executives, focusing on the most important problems we are trying to solve to ensure we meet the business needs and advance the AARP mission to support the 50+. We'll challenge you to think and work in new ways. We are committed to your growth and cultivating your continued learning and development. This paid internship is set to begin in July 2026, with the possibility of extension for additional semesters.

Responsibilities

Strategic

  • Applying innovative thinking and problem-solving skills to address data-related challenges within the Information Technology Services department
  • Meeting with key leaders to learn how data science supports the design, delivery, operation, and promotion of technology solutions that enable AARP to achieve its goals

Analytical

  • Cleaning, preparing, and analyzing datasets to generate actionable insights for IT-related projects
  • Contributing to the interpretation of data analysis results and documenting findings in clear, concise reports for stakeholders

Design Thinking

  • Learning and applying AARP's Design Thinking framework to understand user needs and achieve results that align with business objectives
  • Exploring innovative solutions for data science projects, focusing on user-centered outcomes

Operational

  • Collaborating with technology stakeholders to deliver data-driven service solutions that improve system security, performance, and availability
  • Applying agile principles and practices while working on IT capability and platform team initiatives
  • Supporting process improvement efforts, including constructing and deploying process-centric Business Process Management (BPM) solutions
  • Developing predictive models using supervised and unsupervised machine learning techniques to solve IT-related challenges, such as predicting ticket escalations or identifying anomalies in system performance
  • Evaluating the performance of machine learning models using appropriate metrics (e.g., R2, RMSE, F1 scores) and iterating on model improvements
  • Completing an end-of-internship project that showcases your knowledge and presenting findings to IT leadership

Qualifications

  • Prospective interns must be currently enrolled in a graduate degree program or as post-doctoral students, and must remain academically enrolled throughout the internship
  • Pursuing a graduate degree in Data Science, Computer Science with a Data Science concentration, or Applied Statistics
  • Advanced problem-solving skills using logic and data
  • Critical thinking and analytical skills
  • Ability to articulate complex technical issues to those not as experienced
  • The ideal person will possess the willingness and capacity to learn quickly and apply new knowledge
  • They will also have proven analytical skills, excellent written and oral communication abilities
  • Must be available to participate in the intern program in the summer, working 40 hours a week
  • Advanced user of Excel, PowerPoint, and Word
  • College-level experience with coding practices and languages (such as Java, C/C++, Python, or others)
  • Experience with popular business tools (Windows, Office Professional, Visio, SharePoint, etc.)

Preferred (Nice to Have):

  • Foundational experience with Python and basic machine learning concepts (e.g., classification, regression, or simple predictive models)
  • Exposure to Natural Language Processing (NLP) concepts, such as text classification, keyword extraction, or sentiment analysis
  • Familiarity with modern AI tools or frameworks, such as introductory use of models like BERT or similar NLP libraries
  • Interest in applying AI to real-world business problems, such as improving IT service processes or analyzing operational data
  • Awareness of AI-assisted tools, such as Microsoft Copilot or similar platforms, and curiosity about how they can improve productivity and decision-making
  • Interest in building or interacting with lightweight automation or AI agents, such as Copilot Studio, chat-based workflows, or task automation

AARP will not sponsor an employment visa for this position.

Additional Requirements

  • Regular and reliable job attendance
  • Exhibit respect and understanding of others to maintain professional relationships
  • In office/open office environment with the ability to work effectively surrounded by moderate noise

Hybrid Work Environment

AARP observes Mondays and Fridays as remote workdays, except for essential functions. Remote work can only be done within the United States and its territories.

Compensation and Benefits

The hourly range is $18.40 for undergraduates, $21 for graduate students, and $28 for Ph.D. candidates. Internships are non-exempt positions and are not eligible for employee benefits.

Equal Employment Opportunity

AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status, or on any other basis prohibited by applicable law.


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