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Intern Data Annotation Tech Jobs in Washington (NOW HIRING)

IT Intern

Arlington, VA · On-site

$17.25 - $23/hr

The intern will assist in supporting the IT team in the maintenance of hardware, software, and ... Lend IT support in areas such as cybersecurity, programming, analytics, and data center ...

Federal AI Engineer

Fort Belvoir, VA · On-site

$138K - $153K/yr

... annotation processes to enrich unstructured data, leveraging a variety of data sources (social ... A minimum of five years of Artificial Intelligence, Information Technology, and/or Data Science ...

Foundational experience in data science technologies such as Python, R, Spark, and SQL ... SCA / Union / Intern Rate or Range$25.00/hour+EEOEEO: Equal opportunity employer, including ...

Foundational experience in data science technologies such as Python, R, Spark, and SQL ... SCA / Union / Intern Rate or Range $25.00/hour+ EEO EEO: Equal opportunity employer, including ...

Foundational experience in data science technologies such as Python, R, Spark, and SQL ... SCA / Union / Intern Rate or Range$25.00/hour+EEOEEO: Equal opportunity employer, including ...

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 ...

Showing results 21-40

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 the most commonly searched types of Data Annotation Tech jobs in Washington?

The most popular types of Data Annotation Tech jobs in Washington are:

What are popular job titles related to Intern Data Annotation Tech jobs in Washington?

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

What job categories do people searching Intern Data Annotation Tech jobs in Washington look for?

The top searched job categories for Intern Data Annotation Tech jobs in Washington are:

Infographic showing various Intern Data Annotation Tech job openings in Washington as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Foreign Language Annotator

Annapolis Junction, MD • On-site

AeroVironment
Manufacturing • 1 - 5K employees

$70/hr

Full-time, Part-time

Medical, Dental, Vision, Retirement

Re-posted 7 days ago


Key responsibilities

  • Annotate and analyze video, image, speech, and text data in English and target foreign languages.

  • Identify, prepare, and curate relevant datasets for machine learning and technological evaluation.

  • Maintain rigorous quality control across annotated datasets to meet production benchmarks.


AeroVironment rating

9.1

Company rating: 9.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Worker Type

Regular


Job Description

Summary

We are seeking detail-oriented Foreign Language Annotators to support the research, development, and evaluation of advanced analytic technologies. In this role, you will annotate and analyze English and foreign language data across text, video, image, and speech formats. You will work closely with data teams to prepare, curate, and maintain high-quality datasets according to strict annotation guidelines, directly enabling the advancement of next-generation analytical tools.

We are seeking proficiency in English as well as one or more of the following target languages: Arabic and Urdu. This is a part time position.

Key Responsibilities

  • Annotate and analyze video, image, speech, and text data in English and target foreign languages.

  • Identify, prepare, and curate relevant datasets for machine learning and technological evaluation.

  • Consistently apply technical annotation guidelines to ensure data integrity and high production standards.

  • Conduct transcription, translation, and linguistic analysis across various media types.

  • Maintain rigorous quality control across annotated datasets to meet production benchmarks.

  • Collaborate with technical teams and research analysts to refine data annotation processes.

Basic Qualifications

  • Strong written and verbal fluency in English, alongside proficiency in one or more required languages (Arabic and Urdu).

  • Exceptional analytical skills, high attention to detail, and strong organizational abilities.

  • Proven ability to work both independently and collaboratively within a fast-paced environment.

  • An active TS/SCI with Polygraph

Preferred (Nice to Have) Qualifications

  • Background in linguistic analysis, foreign language translation, speech transcription, or data annotation.

  • Familiarity with annotation tools and data analysis methodologies in a defense, intelligence, or technology research setting.

Hourly Rate: $70/hour

The AV pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data.

ITAR Requirement:

This position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants will be asked to provide specific documentation to verify U.S. person status under the ITAR and the EAR. A "U.S. person" according to their definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee, or asylee. See 22 CFR 120.15. Some positions will require current U.S. Citizenship due to contract requirements.

Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: http://www.avinc.com/myavbenefits.

We also encourage you to review our company website at http://www.avinc.com to learn more about us.

Principals only need apply. NO agencies please.

Who We Are

Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC.

Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed.

What We Do

Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition.

We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data,sexual orientation, gender identity or other legally protected status.

ITAR


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