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Data Annotation Jobs in Crofton, MD (NOW HIRING)

YO AI Labs

AI Consulting Expert - Remote

Washington, DC · Remote

$100 - $200/hr

Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in strategy consulting, management consulting ...

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Data Annotation information

What is a data annotation?

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.

What does a data annotation do?

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.

What are the key skills and qualifications needed to thrive in data annotation?

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.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What are the most commonly searched types of Data Annotation jobs in Crofton, MD?

The most popular types of Data Annotation jobs in Crofton, MD are:

What job categories do people searching Data Annotation jobs in Crofton, MD look for?

The top searched job categories for Data Annotation jobs in Crofton, MD are:

What cities near Crofton, MD are hiring for Data Annotation jobs?

Cities near Crofton, MD with the most Data Annotation job openings:

Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Crofton, MD as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Working Technical Project Manager

Innodata Inc.

Washington, DC • On-site

$50 - $55/hr

Full-time

Re-posted 9 days ago

Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

163rd of 245 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.

What Innodata employees say

Hours and flexibility

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