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Data Annotation Jobs in Poolesville, MD (NOW HIRING)

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Data Annotation information

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

Is data annotation a genuine job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and familiarity with annotation tools, and can be found in various industries like technology and healthcare.

Does data annotation pay well?

Data annotation jobs typically offer entry-level pay that varies depending on the employer, location, and complexity of the tasks. While some positions pay hourly wages comparable to other administrative or clerical roles, experienced annotators working on specialized projects or with advanced tools can earn higher rates. Overall, data annotation is often considered an entry-level position with moderate pay potential.

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

How hard is it to get hired by data annotation?

Getting hired for a data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible, though competition can vary based on the employer and location.

What are the key skills and qualifications needed to thrive in the Data Annotation position, and why are they important?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a data annotator do?

A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.
What cities near Poolesville, MD are hiring for Data Annotation jobs? Cities near Poolesville, MD with the most Data Annotation job openings:
Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Poolesville, MD as of July 2026, with employment types broken down into 3% Locum Tenens, 23% Full Time, 28% Part Time, 1% Contract, 44% Nights, and 1% Summer. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution.
Working Technical Project Manager

Working Technical Project Manager

Innodata Inc.

Washington, DC

$50 - $55/hr

Other

Posted 13 days ago

Innodata rating

7.3

Company rating: 7.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

156th of 215 rated software companies

Job description

About the program:

Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.

About the role:

As the Working Technical Program Manager, you'll be the day-to-day engine that keeps this program moving. Working alongside the Delivery Owner, you'll own the schedule and keep the team on track across five key milestones, coordinate directly with our partner's working-level teams, package and deliver work products, and administer the program's toolchain. It's a hands-on role for someone who thrives on execution, tight coordination, and turning ambitious technical goals into delivered outcomes.

Key Responsibilities:

  • Own day-to-day WBS execution and schedule maintenance against the 24-week program schedule
  • Draft weekly status reports for Delivery Owner review before AFS submission
  • Manage AFS working-level coordination: technical POCs, dependency tracking, acceptance criteria follow-up
  • Maintain risk and issue log; escalate decisions and blockers to the Delivery Owner
  • Package and submit phase-milestone deliverables with explicit acceptance requests and deadline tracking
  • Administer CVAT + SAM 2 toolchain in coordination with the Data & Annotation Engineer
  • Facilitate standups, working sessions, and phase gate preparation
  • Coordinate Technical Writer onboarding and documentation production in Phase E

Must-Have Qualifications: 

  • Bachelor's degree in a technical, business, or related field required; equivalent experience may substitute for degree on a 2-for-1 basis. PMP certification strongly preferred.
  • 7+ years total professional experience, 4+ years in federal program or technical project management
  • Hands-on experience with annotation platforms - CVAT strongly preferred
  • Comfortable authoring technical documentation: run books, user guides, status reports
  • Controlled Unclassified Information (CUI) handling and federal data security awareness
  • Strong working-level stakeholder communication in federal environments
  • Active Secret clearance with TS/SCI eligibility

Nice-to-Have Qualifications:

  • Prior DoD AI/ML data program experience (annotation, dataset engineering, data governance)
  • Familiarity with DataCard or data provenance governance concepts
  • Prior OTA or FFP subcontract management experience
  • Experience with milestone-based invoicing and acceptance management

The expected hourly salary range for this position is $50 to $55 p/hour, based on experience, skills, and qualifications.

Note to Candidates

This role operates under direct oversight of the Delivery Owner. Ideal candidates are strong executors who can run a tight program cadence with minimal overhead.

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