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Internship Ai Data Annotation Jobs in Baltimore, MD

vetegrity

Senior Data Scientist

Annapolis Junction, MD · On-site

$170K/yr

Roles may include supporting NLP, LLM, and agentic AI initiatives, as well as optimizing data flows ... annotation, model training/validation, and knowledge extraction from unstructured data ...

Omm IT Solutions

Senior Data Scientist

Ellicott City, MD · On-site

... AI libraries like regular expressions (e.g., spacy, langchain), text annotation tools and semantic ... Experience retrieving and manipulating data from a variety of data sources included DB2, Oracle ...

HCI

AI Fall Intern

Ellicott City, MD · On-site

$30 - $40/hr

AI Developer Intern -- 90 Day Internship with Potential Full-Time Opportunity What We're Looking ... Strong computer science fundamentals , including software design, data structures, algorithms ...

HCI

AI Developer Fall Intern

Ellicott City, MD

$30 - $40/hr

AI Developer Intern -- 90 Day Internship with Potential Full-Time Opportunity. This position is ... Strong computer science fundamentals , including software design, data structures, algorithms ...

Accenture

Data Protection, A/SA-Evergreen

Baltimore, MD

$84K - $100K/yr

Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Social Security Administration

Data Scientist

Woodlawn, MD · On-site +1

$102K - $133K/yr

Designs and implements machine learning models, including generative AI and agentic AI solutions ... Interns) are not eligible for consideration. HOW TO QUALIFY : Eligible applicants must meet the ...

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All JobsAi Data Annotation JobsInternship Ai Data Annotation JobsInternship Ai Data Annotation Jobs in Baltimore, MD

Internship Ai Data Annotation information

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How much do internship ai data annotation jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for internship ai data annotation in Baltimore, MD is $22.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.38 per hour, depending on experience, location, and employer.

What is an AI data annotation internship?

An AI Data Annotation Internship is a temporary position where interns help label, tag, or categorize data (such as images, text, or audio) to train and improve artificial intelligence models. Interns typically work with datasets, ensuring that the information provided is accurate and consistent, which is crucial for machine learning algorithms to learn effectively. The role is a valuable entry point for those interested in AI, machine learning, or data science, as it offers hands-on experience with the foundational work needed to build intelligent systems.

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

To thrive as an Internship AI Data Annotation specialist, you need attention to detail, basic computer literacy, and a foundational understanding of data labeling concepts, often supported by ongoing training or coursework in data science or computer science. Familiarity with annotation tools like Labelbox, Supervisely, or VIA, and knowledge of data management platforms are commonly required. Strong organizational skills, patience, and effective communication help you manage repetitive tasks and collaborate with team members. These skills are essential to ensure high-quality data labeling, which directly impacts the performance and accuracy of AI models.

What are the typical challenges faced during an AI data annotation internship, and how can I overcome them?

As an AI Data Annotation intern, you may encounter challenges such as maintaining high accuracy while labeling large volumes of data, understanding complex annotation guidelines, and adapting to evolving project requirements. It's important to regularly communicate with your team lead or project manager to clarify any uncertainties and ensure consistency in your annotations. Leveraging available training materials and asking for feedback will help you improve your efficiency and accuracy, turning these challenges into valuable learning experiences.

What is the difference between Internship Ai Data Annotation vs Data Labeler?

AspectInternship Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal formal education required
Work EnvironmentOffice or remote; supervised tasks, often part-time or temporaryOffice or remote; repetitive tasks, often entry-level
Industry UsageTech companies, AI startups, research projectsTech firms, data companies, AI development teams
Search & Comparison IntentUnderstanding entry-level roles in AI data annotationComparing entry-level data labeling jobs in AI

Internship Ai Data Annotation roles typically involve supervised, short-term tasks aimed at gaining experience in AI data preparation. Data Labeler positions are similar entry-level roles focused on labeling data for machine learning. Both roles require basic skills and are used across tech and AI industries, but internships often offer more training and learning opportunities.

What are the most commonly searched types of Ai Data Annotation jobs in Baltimore, MD?

The most popular types of Ai Data Annotation jobs in Baltimore, MD are:

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Internship Ai Data Annotation jobs near you

Data Scientist [$231k/yr+] TS/SCI-FS Poly with Security Clearance

SYSTOLIC

Annapolis Junction, MD • On-site

$231K/yr

Other

Re-posted 6 days ago

Job description

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Summary: • Contribute to Natural Language Processing (NLP) projects, leveraging expertise in Human Language Processing (HLP). • Execute advanced language data tokenization and develop automated annotation solutions. • Enhance and refine existing Machine Learning/Artificial Intelligence (ML/AI) models by rigorously evaluating performance against human-generated benchmarks. • Apply Data Science methodologies to drive continuous improvement in language processing capabilities. Qualifications & Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 10+ years • Salary: $231k+ yearly compensation Job Description: • Lead the implementation and support of Natural Language Processing (NLP) initiatives. • Perform detailed language data tokenization and prepare data for model training. • Design, develop, and deploy automated solutions for efficient language data annotation, utilizing Machine Learning (ML) techniques. • Conduct rigorous performance evaluations of existing AI/ML models, comparing outputs against high-quality human annotations. • Utilize Data Science principles to analyze model performance metrics and identify areas for optimization. • Collaborate with cross-functional teams to integrate Human Language Processing (HLP) insights into broader projects. • Develop strategies for continuous model improvement and data quality enhancement. About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com. To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency

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