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Data Annotation Manager Jobs in Maryland (NOW HIRING)

Guidehouse

Technical SETA SME - Computer Vision

Bethesda, MD · On-site

$98K - $163K/yr

Data Science & Analysis (ESA) Travel Required: Up to 10% Clearance Required: Active Top Secret SCI ... Experience managing large-scale video collection/annotation * Experience with video collection from ...

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All JobsData Annotation JobsData Annotation Manager JobsData Annotation Manager Jobs in Maryland

Data Annotation Manager information

See Maryland salary details

$30.1K

$94.3K

$166.9K

How much do data annotation manager jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data annotation manager in Maryland is $94,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $121,800.00 per year, depending on experience, location, and employer.

What is the salary of data annotation manager?

The salary of a data annotation manager typically ranges from $60,000 to $120,000 annually, depending on experience, location, and company size. Senior roles or those in high-cost areas may offer higher compensation, and familiarity with annotation tools and team management can influence pay levels.

How much do data annotation project managers make?

Data annotation project managers typically earn between $60,000 and $100,000 annually, depending on experience, location, and company size. They oversee annotation teams, coordinate workflows, and ensure quality standards are met, often requiring familiarity with annotation tools and project management skills.

What are some common challenges faced by Data Annotation Managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What does a Data Annotation Manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

Does data annotation actually pay well?

Data annotation managers typically earn competitive salaries that reflect their experience and responsibilities, often ranging from entry-level to senior roles. Compensation can vary based on industry, location, and company size, with specialized skills in tools like labeling platforms and quality control often leading to higher pay.

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

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

How hard is it to get hired by data annotation?

Getting hired as a data annotation manager typically requires relevant experience in data labeling, familiarity with annotation tools, and strong organizational skills. The hiring process often involves reviewing previous work, technical assessments, and demonstrating attention to detail, with opportunities available in companies that outsource data labeling tasks.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Maryland? The most popular types of Data Annotation jobs in Maryland are:
What are popular job titles related to Data Annotation Manager jobs in Maryland? For Data Annotation Manager jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Data Annotation Manager jobs in Maryland look for? The top searched job categories for Data Annotation Manager jobs in Maryland are:
What cities in Maryland are hiring for Data Annotation Manager jobs? Cities in Maryland with the most Data Annotation Manager job openings:
Data Annotation Manager jobs near you
Infographic showing various Data Annotation Manager job openings in Maryland as of July 2026, with employment types broken down into 66% Full Time, and 34% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $94,283 per year, or $45.3 per hour.

PM SETA with Security Clearance

Crimson Phoenix

Bethesda, MD • On-site

$124K - $124K/yr

Other

Posted 25 days ago

Job description

Job Description Technical SETA shall provide support in the execution of the lifecycle of the Program in the areas of Development, Source Selection, Execution, Closeout, and Transition. This Cost Plus Fixed Fee/Level of Effort (CPFF/LOE) SOO defines the Government's requirements for Technical SETA support to the PM of AGlLE. The objectives of the Technical SETA are to assist with the coordination, monitoring, communication and integration of all technical aspects of the Program lifecycle that includes: • Attend meetings, workshops, conferences and testing events as a Subject Matter Expert; • Attend all program related meetings; • Assist with the organization and planning for all program related meetings; • Assist with the development of presentations such as Program Management Reviews; • Reviewing and summarizing BAA proposals and results reporting; • Serve as a technical liaison between Performers, Test & Evaluation contributors, Government and Transition partners; • Review, provide analysis, and make recommendations concerning technical reports, data and Performer approaches; • Supporting the establishment of Memorandums of Agreement and Memorandums of Understanding (MoUs) with technology transition partners; • Establishing and monitoring program procedures for data collection and annotation; • Researching and managing program evaluations and plans;

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