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Data Annotation For Ai Jobs in Baltimore, MD (NOW HIRING)

Develop unit and integration tests for AI-enabled workflows and data pipelines * Generate and utilize synthetic data to support evaluation and benchmarking efforts * Contribute to improving system ...

New

Develop unit and integration tests for AI-enabled workflows and data pipelines * Generate and utilize synthetic data to support evaluation and benchmarking efforts * Contribute to improving system ...

New

... data flow, and system integration. • Evaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases. • Assist with the ...

Develop, and maintain robust and scalable data pipelines for enterprise AI applications including defining appropriate data model concepts * Develop high-performance data parsers for extremely large ...

... AI/ML techniques for optimization, automation, and collection processing - Experience with or ... annotation, model training/validation, and knowledge extraction from unstructured data ...

AI Engineer - SME

Annapolis Junction, MD · On-site

$206K - $221K/yr

... data flow, and system integration. * Evaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases. * Assist with the development of ...

... data flow, and system integration. * Evaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases. * Assist with the development of ...

AI Engineer - SME

Annapolis Junction, MD · On-site

$206K - $221K/yr

... data flow, and system integration.Evaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases.Assist with the development of ...

Senior AI Engineer

Annapolis Junction, MD · On-site

$106K - $146K/yr

Develop data ingestion and transformation pipelines to process source code, documentation, and test outputs for AI/ML workflows * Build and maintain database solutions supporting RAG architectures ...

Showing results 41-60

Data Annotation For Ai information

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

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

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What are popular job titles related to Data Annotation For Ai jobs in Baltimore, MD?

For Data Annotation For Ai jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Data Annotation For Ai jobs in Baltimore, MD look for?

The top searched job categories for Data Annotation For Ai jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Data Annotation For Ai jobs?

Cities near Baltimore, MD with the most Data Annotation For Ai job openings:

Infographic showing various Data Annotation For Ai job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Engineer

Booz Allen Hamilton, Inc.

Fort George G Meade, MD • On-site

$77K - $176K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 24 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants


Job description

Data Engineer
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data professional like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence.
As a data engineer at Booz Allen, you'll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You'll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful.
In this role, you'll collaborate closely with AI model engineers, network and cloud architects, the ISSE, and other technical leaders to guide the development of scalable, mission-aligned data pipelines. You'll apply your expertise in data engineering, exploratory analysis, and feature development to shape how datasets are assessed, designed, transformed, and maintained for AI/ML workloads. While supporting a cross-functional technical environment, you'll help ensure high-quality, well-governed data flows that enable reliable model performance across operational, research, and enterprise systems.
Work with us to use data for good.
Join us. The world can't wait.
You Have:
  • 6+ years of experience as a data engineer
  • Experience validating or normalizing datasets and developing schemas
  • Experience implementing dashboards and metrics for data and pipeline monitoring
  • Experience building automated ETL workflows and pipelines for data processes
  • Knowledge of data governance practices
  • Ability to design, implement, and maintain data pipelines
  • Ability to monitor and improve pipeline performance in coordination with operations teams
  • TS/SCI clearance with a polygraph
  • HS diploma or GED and 6+ years of experience with data normalization and data pipelines, or Bachelor's degree and 4+ years of experience with data normalization and data pipelines

Nice If You Have:
  • 10+ years of experience as a data engineer
  • Experience with cloud environments such as AWS or Azure
  • Experience supporting data cleaning or orchestration for AI/ML solutions
  • Bachelor's degree

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914