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Part Time Ai Data Labeling Jobs in Washington (NOW HIRING)

Bechtel

AI Data Readiness Lead

Reston, VA · On-site +1

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 123,400 - 178,500 ... The AI Data Readiness Lead is a technical role responsible for assessing, preparing, and ...

Bechtel

AI Data Readiness Lead

Reston, VA · On-site

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 123,400 - 178,500 ... The AI Data Readiness Lead is a technical role responsible for assessing, preparing, and ...

Bechtel

AI Enablement Manager

Reston, VA · On-site

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 140,800 - 203,700 ... based on market data; final salary offered is determined by education, experience, and ...

Bechtel

AI Enablement Manager

Reston, VA

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 140,800 - 203,700 ... based on market data; final salary offered is determined by education, experience, and ...

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Part Time Ai Data Labeling information

What are the key skills and qualifications needed to thrive as a part time AI data labeling specialist?

To thrive as a Part Time AI Data Labeling Specialist, you need attention to detail, basic computer literacy, and often a high school diploma or equivalent. Familiarity with labeling platforms, annotation tools, and sometimes experience with data management systems is typically required. Reliability, time management, and the ability to follow precise instructions are crucial soft skills for this role. These skills ensure high-quality, accurate datasets that support effective machine learning model development.

What is part time AI data labeling?

Part-time AI data labeling involves annotating or categorizing data such as images, text, audio, or video to train and improve artificial intelligence and machine learning models. As a part-time data labeler, you work flexible hours to tag or classify data according to specific guidelines provided by a company or research team. This role is essential for creating high-quality datasets that help AI systems learn to recognize patterns, objects, or language. The work can often be done remotely and may require attention to detail and basic computer skills. Many companies hire part-time data labelers to handle large volumes of data efficiently.

What is the difference between Part Time Ai Data Labeling vs Part Time Data Annotation Specialist?

AspectPart Time Ai Data LabelingPart Time Data Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certification required
Work EnvironmentRemote, flexible hoursRemote or onsite, flexible schedule
Industry UsageAI, machine learning, tech companiesData management, research, tech sectors
Job FocusLabeling data for AI trainingAnnotating data for various applications

Part Time Ai Data Labeling and Part Time Data Annotation Specialist roles share similar credentials and work environments, often involving remote work and flexible hours. The main difference lies in the specific focus: AI Data Labeling emphasizes preparing data for machine learning models, while Data Annotation Specialists may work on broader data types for various purposes. Both roles are essential in data-driven industries and often overlap in skills and industry usage.

What are some common challenges faced by part time AI data labelers, and how can they be effectively managed?

Part-time AI data labelers often encounter challenges such as repetitive tasks, maintaining high accuracy, and adapting to evolving labeling guidelines. To manage these, it's important to take regular breaks to prevent fatigue, stay updated on any changes to annotation protocols, and communicate with supervisors or team members when clarifications are needed. Leveraging available training resources and quality assurance feedback can also help improve performance and make the work more engaging. Collaboration with other labelers through team chats or forums can provide support and insights for handling tricky cases.
What are the most commonly searched types of Ai Data Labeling jobs in Washington? The most popular types of Ai Data Labeling jobs in Washington are:
What are popular job titles related to Part Time Ai Data Labeling jobs in Washington? For Part Time Ai Data Labeling jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Part Time Ai Data Labeling jobs in Washington look for? The top searched job categories for Part Time Ai Data Labeling jobs in Washington are:
Part Time Ai Data Labeling jobs near you
Infographic showing various Part Time Ai Data Labeling job openings in Washington as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Remote job distribution.

AI Data Scientist

Booz Allen Hamilton, Inc.

Fort George G Meade, MD • On-site, Remote

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 11 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

9th of 72 rated business consultants

Job description


Remote Work:
No
Job Number:
R0245653
Location:
Fort Meade,MD,US
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AI Data Scientist
The Opportunity:
Support strategic operational design and capability development and apply critical and creative thinking to define the nature of complex national security problems. Analyze the client's mission and intent, organizational relationships, and purpose of proposed operations to develop strategic knowledge of the operational environment and frame mission analysis. Conceptualize and construct frameworks to explain the operational environment through visual effects and tools to better inform assigned Mission Areas. Design and shape knowledge of assigned environments to develop applicable approaches to exercises and wargaming, crises and contingencies, offensive, defensive, and combat operations. Conduct capability assessments on newer technologies such as Artificial Intelligence (AI) and Machine Learning (ML) to include risks, vulnerabilities, and adversarial parameters.
Join us. The world can't wait.
You Have:
  • 5+ years of experience with Data Analysis and Data Science, including integrating data feeds to display information
  • Experience with AI, ML, and data management and visualization tools with a graphical user interface, such as Python, Tableau, or Power BI
  • Experience in DoD Information Technology (IT), Department of Defense Information Network (DoDIN), or cyberspace tactical environment
  • Experience working with industry engagements, academia, and technical universities
  • Experience with demonstrations, practical use applications, and drafting executive summaries with recommendations
  • TS/SCI clearance
  • Bachelor's degree in an Applied Science field

Nice If You Have:
  • Experience with preparing project charters and leading and organizing working groups to address data analytics
  • Experience with analyzing operational assessment methodologies and decision criteria, and preparing and presenting briefings to senior leadership
  • Experience working with the Defense Industrial Base (DIB)
  • Knowledge of operations in mission areas, including network operations, network defense, signals intelligence, information operations, space, or electronic warfare
  • Ability to create and maintain KM solutions and use Power BI tools to create dashboards and visual displays
  • Ability to communicate and visualize complex data in an actionable and effective way for a given project or study
  • Ability to work independently and with team members from different backgrounds
  • Master'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 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 $99,000.00 to $225,000.00 (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

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