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Data Annotation Services Jobs in Baltimore, MD (NOW HIRING)

... annotation, model training/validation, and knowledge extraction from unstructured data ... As a Service-Disabled, Veteran-Owned Small Business, we pride ourselves on our commitment to ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... end analytics and data science services within the REALM of cybersecurity. Your effort and ... annotation of language data with parts of speech information, and improve existing models by ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... end analytics and data science services within the REALM of cybersecurity. Your effort and ... annotation of language data with parts of speech information, and improve existing models by ...

Logistics Specialist IV

Aberdeen, MD · On-site

$125K - $142K/yr

... service personnel; resolves logistics problems; and compiles data on standardization and ... annotation, verifying document numbers (transactions), and submitting documents to auditors for ...

Data Annotation Services information

How hard is it to get hired by data annotation?

Getting hired for data annotation services typically requires basic computer skills, attention to detail, and the ability to follow instructions. Many positions are entry-level and may not require prior experience, but familiarity with annotation tools and good accuracy can improve chances of employment.

What are the key skills and qualifications needed to thrive in Data Annotation Services, and why are they important?

To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.

Does data annotation actually pay you?

Data annotation services typically pay workers for labeling data used in machine learning models. Payment rates vary depending on the platform, task complexity, and experience, with many jobs offering hourly or per-task compensation. Reliable platforms often require basic skills in data handling and attention to detail.

Is data annotation real or fake?

Data annotation is a legitimate job that involves labeling data such as images, text, or videos to train machine learning models. It requires attention to detail and familiarity with annotation tools, and it is widely used in AI development. The work is real and essential for creating accurate AI systems.

What is the difference between Data Annotation Services vs Data Labeling Specialists?

AspectData Annotation ServicesData Labeling Specialists
CredentialsTypically no formal credentials required; focus on trainingOften have training in specific tools or industry standards
Work EnvironmentCollaborative, often remote or in-office teamsSimilar, working in teams or independently on labeling tasks
Industry UsageUsed by AI/ML companies for training datasetsEmployed in similar settings, focusing on labeling data for AI models
Search & Comparison IntentUnderstanding services offered for data preparationLooking for roles or tasks related to data labeling

Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.

What are some common challenges faced when working in data annotation services, and how can I address them?

In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.

What does a data annotation job do?

A data annotation job involves labeling or tagging data such as images, text, or videos to help train machine learning models. Workers use tools to add metadata, which improves the accuracy of AI systems, often working remotely with flexible schedules and requiring attention to detail. Knowledge of annotation tools and data quality standards is beneficial.

What are data annotation services?

Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.
What job categories do people searching Data Annotation Services jobs in Baltimore, MD look for? The top searched job categories for Data Annotation Services jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data Annotation Services jobs? Cities near Baltimore, MD with the most Data Annotation Services job openings:
Infographic showing various Data Annotation Services job openings in Baltimore, MD as of July 2026, with employment types broken down into 2% Locum Tenens, 34% Full Time, 25% Part Time, 2% Contract, 36% Nights, and 1% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution.
Data Scientist 3

Data Scientist 3

vetegrity

Annapolis Junction, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Job Description

Vetegrity is hiring Data Scientists to design, develop, and implement data analytics, automation, and AI/ML solutions in support of mission-driven analytic workflows. Candidates will work with diverse data sources, automate data processing and reporting, and present complex findings through visualizations and dashboards. Roles may include supporting NLP, LLM, and agentic AI initiatives, as well as optimizing data flows and ensuring data quality and compliance.

, Required Skills

- Proficiency in Python for data analysis, automation, and workflow development

- Experience with data aggregation, transformation, curation, and error correction

- Familiarity with data visualization tools (e.g., Plotly, Shapely, GeoPandas, Kibana, Elastic, SQL, Jupyter)

- Experience with ETL workflows, batch/incremental data ingestion, and robust error handling

- Ability to automate analytic and reporting processes

- Experience with or willingness to learn AI/ML techniques for optimization, automation, and collection processing

- Experience with or exposure to NLP, LLMs, and/or agentic AI frameworks (e.g., LangGraph, RAG)

- Ability to interact with APIs and build/retrieve tools for data access

- Understanding of data flows, customer data sources, and data retrieval techniques

- Experience with or willingness to learn front-end web development (e.g., HTML, Bootstrap, Pyodide)

- Familiarity with big data platforms, networked environments, and/or SIGINT or CNO mission data is a plus

- Knowledge of data compliance, policy, and quality assurance best practices

, Desired Skills

- Experience with Jupyter Notebooks, Pandas, PySpark, or Polars

- Experience with process automation for reporting and maintaining Python automation packages

- Experience with NLP/NER annotation, model training/validation, and knowledge extraction from unstructured data

- Familiarity with customer-specific tools, data flows (e.g., XKS/DX), and mission priorities

- Experience with Splunk, SQL, Elastic, Kibana, or networking

- Prior experience supporting CNO or SIGINT missions

, Additional Details

Vetegrity is an employee-focused small business, founded in 2008. We are passionate about supporting the missions of the Intelligence Community and the Department of Defense. As a Service-Disabled, Veteran-Owned Small Business, we pride ourselves on our commitment to excellence and integrity in everything we do.

We offer competitive compensation and benefits to include:

- Medical/Dental/Vision

- 20 Days of Paid Time Off (PTO) + Federal Holidays

- 401k with Employer Match

- Profit Sharing

- Tuition Reimbursement

- Flex Spending Account

- Life Insurance, Long Short-Term Disability

- Pet Adoption Reimbursement

- Annual Physical Fitness/Wellness Allowance

- Supplemental Insurance

- Employee Referral Program

- Performance Incentives

- On-The-Spot Rewards

Other company-sponsored perks include after-hours events, logo apparel, holiday parties, and more!

Vetegrity provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

, About Vetegrity

We’re always on the lookout for mission-driven individuals who want to work with purpose, grow with grit, and thrive as part of a team that values integrity above all else. Whether you’re a seasoned professional or just launching your career, Vetegrity offers opportunities to contribute to meaningful work and be part of a company that listens, supports, and invests in its people.
Browse our open roles below and find the one that fits your journey.


Vetegrity logo

About Vetegrity

Sourced by ZipRecruiter

Industry

Professional, scientific, and technical services

Company size

11 - 50 Employees

Headquarters location

Annapolis, MD, US

Year founded

2008