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Data Annotation Part Time Jobs in Silver Spring, MD

Overview Black Canyon Consulting (BCC) is actively looking for a part-time Subject Matter Expert ... Department of Health and Human Services (DHHS) agencies to develop data science solutions to ...

Data Annotation Part Time information

What are some common challenges faced by part-time data annotation professionals, and how can they be managed?

Part-time data annotation professionals often encounter challenges such as repetitive tasks, maintaining concentration over extended periods, and understanding nuanced annotation guidelines. To manage these challenges, it's helpful to take regular short breaks, stay organized with clear labeling conventions, and communicate proactively with team leads or project managers when questions arise. Many teams also provide regular training updates and feedback sessions, which support continuous improvement and help annotators stay aligned with project requirements.

Can you do data annotation part-time?

Yes, data annotation roles are often available on a part-time basis, allowing flexible schedules for individuals with basic computer skills and attention to detail. Many companies offer remote part-time positions that require minimal prior experience and can be suitable for students or those seeking supplemental income.

What are the key skills and qualifications needed to thrive as a Data Annotation Part Time worker, and why are they important?

To thrive as a Data Annotation Part Time worker, you need strong attention to detail, accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic spreadsheet software is typically required. Reliability, focus, and the ability to follow guidelines precisely are valuable soft skills in this role. These skills ensure high-quality, consistent data labeling, which is crucial for training effective AI and machine learning models.

Is it hard to get hired for data annotation?

Getting hired for a part-time data annotation role generally depends on the applicant's attention to detail, ability to follow instructions, and basic computer skills. Many companies require no formal experience, but familiarity with annotation tools and good communication can improve chances. The hiring process is often straightforward and may involve a simple test or sample annotation task.

What are Data Annotation Part Time jobs?

Data annotation part time jobs involve labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. This work can include identifying objects in photos, transcribing audio, or categorizing content. Part time positions offer flexible hours and may be remote, making them a popular choice for students or those looking to supplement their income. Attention to detail and the ability to follow guidelines are important skills for these roles.

Does data annotation actually pay?

Data annotation jobs typically pay hourly or per task rates, with wages varying depending on the platform, complexity of the work, and experience level. Many part-time data annotation roles offer minimum wage or slightly above, and some platforms provide flexible schedules for remote work. Payment is generally reliable if working through reputable companies or platforms that process payments regularly.

Can I do data annotation with no experience?

Data annotation roles often do not require prior experience, as training is typically provided. Basic skills such as attention to detail and familiarity with computers are sufficient to start, and some positions may require completing a short onboarding or training process before beginning work.

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

AspectData Annotation Part TimeData Labeling Specialist
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma; attention to detail
Work EnvironmentRemote or office-based; flexible hoursRemote or office; often project-based
Industry UsageAI, machine learning, data processingAI, machine learning, data processing
Job FocusAnnotating data for training AI modelsLabeling data to improve model accuracy

Data Annotation Part Time and Data Labeling Specialist roles are similar, focusing on preparing data for AI training. The main difference lies in terminology; 'Data Annotation' emphasizes the process, while 'Data Labeling' refers to the task. Both roles typically require similar skills and work environments, making them interchangeable in many contexts.

What are the most commonly searched types of Data Annotation jobs in Silver Spring, MD? The most popular types of Data Annotation jobs in Silver Spring, MD are:
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What cities near Silver Spring, MD are hiring for Data Annotation Part Time jobs? Cities near Silver Spring, MD with the most Data Annotation Part Time job openings:
Infographic showing various Data Annotation Part Time job openings in Silver Spring, MD as of July 2026, with employment types broken down into 2% Locum Tenens, 24% Full Time, 25% Part Time, 15% Contract, 33% Nights, and 1% Summer. Highlights an 33% Physical, 2% Hybrid, and 65% Remote job distribution.

Subject Matter Expert- RxNav

BCC - LH

Bethesda, MD • On-site

Full-time, Part-time

Re-posted 4 hours ago


Job description

Overview
Black Canyon Consulting (BCC) is actively looking for a part-time Subject Matter Expert - RxNav to support the the National Library of Medicine (NLM).
The Lister Hill National Center for Biomedical Communications (LHNCBC)'s Applied Clinical Informatics Branch (ACIB) at the National Library of Medicine (NLM) identifies and develops innovative solutions for complex biomedical informatics challenges related to the use of diverse forms of clinical data, such as electronic health records, imaging, and sensor data, that scale across institutional boundaries and applications. Its members translate new research results into operational solutions that can be implemented in healthcare and research environments, and they explore and improve upon emerging solutions in the use of clinical data, including standards for terminology and data communications. The ACIB collaborates with other entities within NIH and the U.S. Department of Health and Human Services (DHHS) agencies to develop data science solutions to address issues of mutual interest and participates in interdisciplinary, cross-divisional collaborations and projects where appropriate.
Job Duties and Responsibilities:
The RxNav SME will be responsible for supporting the work of the RxNav suite, providing expert knowledge in the following tasks:
  • Document RxNav and RxClass use cases, improving user guidance and supporting ongoing maintenance.
  • Assist in prioritizing and support management in the development of the RxNav suite (i.e., RxNav, RxClass, RxMix, and RxAPIs).
  • Provide guidance on mapping and alignment goals (e.g., ATCPROD, SNOMED), use cases, priorities, and documentation.
  • Review the RxNorm-in-OWL pilot, contribute to discussions, and refine documentation.
  • Offer expertise and ad-hoc support across all aspects of the RxNav project as needed.
  • Participate in a weekly RxNav touch-point meeting to review progress, address challenges, and align priorities

Qualifications:
  • Advanced technical or scientific degree in research subject matter, Ph.D. or MD. desirable
  • Outstanding publications
  • Technical writing skills (e.g., drafting and writing papers, documentation, administrative materials, copy-editing of transcripts, etc.)
  • Knowledge and experience in biomedical informatics, image processing, and natural language processing (e.g. extracting information from biomedical literature and databases or contributing linguistic or medical knowledge to system development)
  • Extensive experience in biostatistics, with working knowledge of R, S, SAS or SPSS
  • Experience in content development and/or text annotation (e.g., annotation of certain types of biomedical entities including personally identifiable information; development of biomedical lexicons; or development of mission-related content)
  • Experience in specialized and custom training of emerging technologies
  • Experience in content management systems (e.g. Drupal)
  • Exceptional problem-solving abilities
  • Excellent communication and interpersonal skills
Salary
We offer a competitive salary commensurate with experience and location. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!