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Data Labeling Jobs in Silver Spring, MD (NOW HIRING)

Phase2 Technology

AI and ML Data Scientist

Mclean, VA · On-site

$125 - $150/hr

Knowledge of information retrieval, embeddings, vector databases, semantic search, data labeling, classification models, model evaluation, and data quality assessment * Ability to translate military ...

Booz Allen Hamilton

AI and ML Data Scientist

Mclean, VA · On-site

Knowledge of information retrieval, embeddings, vector databases, semantic search, data labeling, classification models, model evaluation, and data quality assessment * Ability to translate military ...

AIToolboard

AI and ML Data Scientist

Mclean, VA · On-site

$125 - $150/hr

... labeling, classification models, model evaluation, and data quality assessment • Ability to translate military intelligence mission requirements into technical AI solutions, prototypes, and ...

WILLCOR, Inc.

Maritime Imagery Analyst

Suitland, MD · On-site

Participates in other testing of new algorithm outputs and capabilities, to include data labeling in support of maritime GEOINT objects. * Develop and maintain desktop procedures, techniques and ...

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All JobsData Labeling JobsData Labeling Jobs in Silver Spring, MD

Data Labeling information

See Silver Spring, MD salary details

$10

$25

$59

How much do data labeling jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for data labeling in Silver Spring, MD is $25.07, according to ZipRecruiter salary data. Most workers in this role earn between $16.47 and $28.76 per hour, depending on experience, location, and employer.

What is data labeling?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a data labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are the key skills and qualifications needed to thrive in data labeling, and why are they important?

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

How can I get started in data labeling?

To get started in data labeling, you should develop basic skills in data annotation tools and understand labeling guidelines for different data types such as images, text, or audio. Many entry-level positions require attention to detail and sometimes a background in relevant fields like computer science or linguistics; online courses and practice datasets can help build your skills. Additionally, creating a strong profile on job platforms and applying to companies that offer remote or flexible data labeling roles can increase your chances of starting in this field.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.

Is data labeling a good career?

Data labeling is a growing field that involves annotating data for machine learning models, often requiring attention to detail and familiarity with tools like labeling platforms. It can offer flexible schedules and entry-level opportunities, but typically provides lower pay compared to other tech roles and may lack long-term career advancement without additional skills. Overall, it can be a suitable starting point for those interested in AI and data science, but may not be ideal as a long-term career without further development.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a team environment.

What are popular job titles related to Data Labeling jobs in Silver Spring, MD?

For Data Labeling jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Data Labeling jobs in Silver Spring, MD look for?

The top searched job categories for Data Labeling jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Data Labeling jobs?

Cities near Silver Spring, MD with the most Data Labeling job openings:

Data Labeling jobs near you
Infographic showing various Data Labeling job openings in Silver Spring, MD as of August 2026, with employment types broken down into 75% Full Time, 6% Part Time, 7% Temporary, and 12% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $52,137 per year, or $25.1 per hour.

AI and ML Data Scientist

Mclean, VA • On-site

Phase2 Technology
Software Development • 51 - 200 employees
Learn more about Phase2 Technologyexternal

$125 - $150/hr

Other

Medical, Life, Retirement, PTO

Re-posted 4 days ago

Key responsibilities

  • Design, develop, and deploy advanced AI systems to support military intelligence analysis and decision-making.

  • Work with clients, analysts, and stakeholders to understand operational needs and develop AI capabilities such as reasoning, workflow orchestration, and information retrieval.

  • Create and evaluate AI agents, pipelines, and prototypes to ensure systems are reliable, explainable, secure, and aligned with operational requirements.

Job description

AI and ML Data Scientist The Opportunity

As an Agentic AI Engineer and Data Scientist for military intelligence, you're excited by the opportunity to design, develop, and deploy advanced AI systems that help analysts transform complex, fragmented information into actionable intelligence. You understand the possibilities created by large language models (LLMs), machine learning (ML), natural language processing (NLP), autonomous workflows, and multi-agent architectures, and you want to apply them to mission‑critical national security challenges.

In today's contested and information‑rich operating environment, military intelligence teams must rapidly make sense of large volumes of structured and unstructured data from multiple sources, formats, and domains. As an AI professional at Booz Allen, you'll help build intelligent systems that support intelligence discovery, analysis, prioritization, reporting, and decision advantage for defense and national security clients.

On our team, you'll use your AI, data science, and software development skills to create real‑world mission impact. You'll work closely with clients, analysts, engineers, and mission stakeholders to understand operational needs, identify high‑value use cases, and develop agentic AI capabilities that can reason over data, orchestrate workflows, retrieve relevant information, generate analytic products, and support human‑in‑the‑loop decision‑making. You'll design and implement AI agents, retrieval‑augmented generation pipelines, evaluation frameworks, prompt strategies, data processing workflows, and mission‑focused prototypes. You'll help ensure these systems are reliable, explainable, secure, testable, and aligned to operational requirements. Ultimately, you'll help military intelligence organizations use AI responsibly and effectively to accelerate insight, improve analytic tradecraft, and support informed decisions.

You Have
  • Experience developing, integrating, or evaluating AI, ML, NLP, LLMs, or agentic AI capabilities for mission, operational, or enterprise use cases, and building AI‑enabled applications using Python and modern AI/ML libraries or frameworks, including PyTorch, Scikit‑Learn, LangChain, LlamaIndex, Hugging Face, or CUDA
  • Experience developing agentic AI systems, including autonomous or semi‑autonomous agents, tool‑using agents, multi‑step reasoning workflows, task orchestration, retrieval‑augmented generation, or human‑in‑the‑loop AI capabilities
  • Experience analyzing, processing, and integrating structured and unstructured data sources, including intelligence data such as text, reports, messages, metadata, documents, or geospatial data
  • Experience designing, testing, validating, or evaluating AI/ML systems, including model performance, accuracy, relevance, robustness, hallucination mitigation, or mission‑aligned evaluation criteria
  • Experience supporting military intelligence, defense intelligence, all‑source analysis, targeting, indications and warning, collection management, operations intelligence, or national security missions, and developing AI systems for classified, air‑gapped, secure, or operationally constrained environments
  • Experience with prompt engineering, prompt evaluation, model benchmarking, fine‑tuning, synthetic data generation, or LLM application development
  • Knowledge of information retrieval, embeddings, vector databases, semantic search, data labeling, classification models, model evaluation, and data quality assessment
  • Ability to translate military intelligence mission requirements into technical AI solutions, prototypes, and production‑ready capabilities
  • TS/SCI clearance
  • Bachelor's degree in Data Science, CS, AI, ML, Engineering, Operations Research, Applied Mathematics, or Statistics
Nice If You Have
  • Experience with distributed data, cloud, or high‑performance computing tools, including Spark, Kafka, Hadoop, Hive, EMR, Databricks, Kubernetes, Docker, OpenSearch, Elasticsearch, or similar technologies
  • Experience developing APIs, microservices, analytic interfaces, dashboards, or production software using FastAPI, Flask, REST services, Git, CI/CD, DevSecOps, Plotly, Dash, Streamlit, Tableau, or Power BI
  • Knowledge of intelligence tradecraft, analytic standards, military operations, Joint or Combatant Command environments, the intelligence cycle, AI safety, model governance, responsible AI, explainability, auditability, access control, or data security
  • Ability to collaborate with analysts, engineers, data owners, security teams, and mission stakeholders to deploy AI‑enabled capabilities in operational environments
  • TS/SCI clearance with a polygraph
  • Master's degree in Data Science, CS, AI, ML, Engineering, Operations Research, Applied Mathematics, Statistics, or a related field
  • AI, ML, Cloud Computing, Data Engineering, Cybersecurity, or DevSecOps Certification such as AWS, Azure, Google Cloud, Databricks, Kubernetes, Security+, or similar Certification
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 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.

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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