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Remote Data Tagging Jobs in Nottingham, MD (NOW HIRING)

Remote Data Tagging information

See Nottingham, MD salary details

$54.7K

$98.8K

$134.9K

How much do remote data tagging jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote data tagging in Nottingham, MD is $98,762.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $108,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote data tagging specialist?

To thrive as a Remote Data Tagging Specialist, you need strong attention to detail, basic data analysis skills, and familiarity with data labeling concepts, typically supported by a high school diploma or higher. Experience with data annotation tools such as Labelbox, Supervisely, or CVAT, and understanding of formats like JSON or XML, is commonly required. Excellent time management, communication, and reliability are standout soft skills for this remote role. These abilities are crucial to ensure high-quality, accurate datasets that power machine learning and AI systems.

What are some common challenges faced by remote data tagging professionals and how can they be addressed?

Remote data tagging professionals often encounter challenges such as maintaining consistent accuracy, managing repetitive tasks, and staying engaged without in-person supervision. To address these, it’s helpful to follow clear annotation guidelines, take regular breaks to prevent fatigue, and use collaboration tools to communicate with team members or supervisors. Many organizations also provide feedback loops and quality checks to support remote taggers in improving their work and staying aligned with project expectations.

What is the difference between Remote Data Tagging vs Remote Data Annotation?

AspectRemote Data TaggingRemote Data Annotation
Primary FocusLabeling specific data points within datasetsAdding detailed labels and context to data
Skills RequiredAttention to detail, basic understanding of data typesAnalytical skills, understanding of data context
Work EnvironmentRemote, often part-time or freelanceRemote, often part-time or freelance
Industry UsageMachine learning, AI trainingMachine learning, AI training

Remote Data Tagging and Remote Data Annotation are closely related tasks in AI data preparation. Tagging typically involves marking specific data points, while annotation provides more detailed context. Both roles are essential for training machine learning models and share similar skills and work environments.

What is remote data tagging?

Remote data tagging is the process of labeling or annotating data—such as images, videos, text, or audio—while working from a remote location, typically from home. This work is essential for training artificial intelligence (AI) and machine learning models, as it helps computers better understand and categorize information. Data taggers use specialized software to mark, classify, or add metadata to various types of digital content according to specific guidelines provided by employers or clients. Most remote data tagging jobs require attention to detail, basic computer skills, and the ability to follow detailed instructions. These roles are often offered as freelance, part-time, or full-time remote positions.
What job categories do people searching Remote Data Tagging jobs in Nottingham, MD look for? The top searched job categories for Remote Data Tagging jobs in Nottingham, MD are:
What cities near Nottingham, MD are hiring for Remote Data Tagging jobs? Cities near Nottingham, MD with the most Remote Data Tagging job openings:
Infographic showing various Remote Data Tagging job openings in Nottingham, MD as of June 2026, with employment types broken down into 83% Full Time, 3% Part Time, 3% Temporary, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $98,762 per year, or $47.5 per hour.

System Engineer

Booz Allen Hamilton, Inc.

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

$86K - $198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 5 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:
R0246025
Location:
Fort Meade,MD,US
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System Engineer
The Opportunity:
Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact on national security? You understand your customer's environment and how to develop the right solutions for their mission. Your ability to translate real-world needs into technical specifications makes you an integral part of delivering a customer-focused engineering solution.
As a Dataflow System Engineer on our team, you have the chance to shape the evolution of mission data governance by leading modernization efforts for the client's enterprise data flow team. Your customer will trust you to provide Tier 1 operations support for customer data flow requests, specify requirements for new data flows, coordinate with data flow service providers, and define processes, business rules, and functional requirements for mission systems that support data flow. You will work closely with customers and stakeholders across a variety of roles and teams to plan and implement dataflows supporting critical cyber missions. On our team, you'll be able to broaden your skill set into areas like cross-domain technologies and concepts, data handling and tagging, and data schema development and validation. Grow your skills by merging system engineering and mission data governance to create modernized processes and systems supporting enterprise data flow for a national security client. Join our team and create the future of mission data governance in national security.
Join us. The world can't wait.
You Have:
  • Experience with data flow, Apache NiFi, or mission systems
  • Experience defining and applying data tagging and handling requirements
  • Experience analyzing and defining data schemas and data processing requirements
  • Experience developing capability level and functional requirements, mission scenarios, use cases, or business processes
  • Knowledge of data governance concepts, such as data provenance, classification, sizing, retention, data sharing, and marking
  • TS/SCI clearance with a polygraph
  • Bachelor's degree in a System Engineering or field and 14+ years of experience with systems engineering, or 19+ years of experience with systems engineering in lieu of a degree

Nice If You Have:
  • Experience defining requirements, architecture, or design elements for systems or software that deal with data exchange, interfaces, or APIs
  • Experience defining and modeling business processes and workflows and identifying mechanisms and approaches for process improvement or automation
  • Knowledge of signals intelligence (SIGINT) or cyber data discovery and analysis methods
  • Knowledge of cross-domain technologies, concepts, or policies
  • Knowledge of DoD agency policies and directives as they apply to IT SIGINT collection, dataflow, and information sharing with internal and external partners
  • Knowledge of DoD or IC data formats and legal authorities for mission data

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 $86,900.00 to $198,000.00 (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