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Intern Data Annotation Tech Jobs in Washington (NOW HIRING)

Reingold Inc

Data and AI Marketing Intern

Alexandria, VA · On-site

$20/hr

We're looking for someone who loves figuring out new technology - whether it's a platform you've ... As a Data and AI Marketing Intern, you'll support the development, execution, and optimization of ...

General Motors

Senior AI/ML Engineer

Washington, DC · On-site +1

$118.30K - $162.50K/yr

... data annotation (pre‑labeling, autolabeling, active learning loops), helping us move from ... Driven to learn new technologies and deepen your expertise across frontend, backend, and data ...

General Motors

Senior AI/ML Engineer

Annapolis, MD · On-site +1

$103.40K - $142.10K/yr

... data annotation (pre‑labeling, autolabeling, active learning loops), helping us move from ... Driven to learn new technologies and deepen your expertise across frontend, backend, and data ...

BigBear Inc

Research Analyst Intern

Falls Church, VA

... data-driven insights. This internship is designed for college students interested in technology ... The intern will work closely with senior technical leaders and cross-functional teams to research ...

NewGen Technologies

VLM Engineer

Herndon, VA · On-site

Familiarity with data annotation platforms and active learning workflows for imagery * Experience ... Technologies has solved our clients' toughest IT challenges with integrity, security, and ...

New

NewGen Technologies

VLM Engineer

Herndon, VA

... with data annotation platforms and active learning workflows for imageryExperience with ... Technologies has solved our clients' toughest IT challenges with integrity, security, and ...

New

ServerFarm

Data Center Operations Intern

Vienna, VA · On-site

$20 - $25/hr

... world's leading technology and hyperscale companies. With Manulife Investment Management ... Join our Data Center Operations team as an onsite intern reporting directly to the Data Center ...

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Intern Data Annotation Tech information

What are the key skills and qualifications needed to thrive as an Intern Data Annotation Tech, and why are they important?

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 are Intern Data Annotation Techs?

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 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.

What are the most commonly searched types of Data Annotation Tech jobs in Washington? The most popular types of Data Annotation Tech jobs in Washington are:
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What cities in Washington are hiring for Intern Data Annotation Tech jobs? Cities in Washington with the most Intern Data Annotation Tech job openings:
Intern Data Annotation Tech jobs near you
Infographic showing various Intern Data Annotation Tech job openings in Washington as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.
Data Science Intern (USPS) - Summer 2026

Data Science Intern (USPS) - Summer 2026

LMI

Washington, DC • On-site

Other

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

Job description

Data Science & AI/ML Intern

LMI is seeking a highly motivated Data Science & AI/ML Intern for Summer 2026 to contribute to impactful projects in data science, software development, and artificial intelligence/machine learning (AI/ML). This internship provides an opportunity to work with cutting-edge technologies, analyze complex datasets, and develop AI-driven solutions that support LMI's mission to provide innovative solutions for government clients.

This role is dedicated to bolstering our Advanced Analytics & AI practice and supporting our USPS customer.

*This position is currently full-time onsite at the customers Washington DC office.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities
  • Participate in research and development efforts focused on emerging AI and data science methodologies.
  • Conduct data analysis and build predictive models using Python, SQL, and machine learning libraries.
  • Develop and implement AI/ML algorithms to solve real-world problems.
  • Assist in the development of software applications leveraging cloud computing platforms like AWS or Azure.
  • Create data visualizations and dashboards to present analytical insights effectively.
  • Collaborate with cross-functional teams to integrate AI-driven solutions into existing systems.
Qualifications
  • Current enrollment in a degree seeking program required
  • Availability to work full-time for at least 10-12 weeks for summer 2026
  • Must be available starting at the end of May 2026
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
  • Experience with Python, SQL, and machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).
  • Familiarity with software development, cloud computing (AWS, Azure), and algorithms.
  • Strong analytical and problem-solving skills with the ability to work on complex datasets.
  • Experience with data visualization tools (Tableau, Power BI, Matplotlib) is a plus.
  • Strong communication and teamwork skills.
  • Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information. For this position, LMI will only consider applicants who are eligible for security clearances. Only US Citizens are eligible for a security clearance.

DESIRED QUALIFICATIONS/SKILLS

  • Experience working with Microsoft Excel and Access.
  • Experience with Visual Basic for Applications and Java is highly desirable.
  • Programming experience—ability to program and learn new programming languages quickly.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

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