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Data Annotation Manager Jobs in Tolchester, MD (NOW HIRING)

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Data Annotation Manager information

See Tolchester, MD salary details

$29.6K

$92.7K

$164.2K

How much do data annotation manager jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data annotation manager in Tolchester, MD is $92,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $119,800.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a data annotation manager?

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.

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 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 cities near Tolchester, MD are hiring for Data Annotation Manager jobs?

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

Data Annotation Manager jobs near you
Infographic showing various Data Annotation Manager job openings in Tolchester, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $92,720 per year, or $44.6 per hour.

Logistician (contingent 034)

Aberdeen Proving Ground, MD

Systems Products and Solutions, Inc
51 - 200 employees
Learn more about Systems Products and Solutions, Incexternal

Full-time

Re-posted 6 days ago

Job description

Title: Logistician (contingent 034) (2)

Location: APG, MD 

Requirements:

  • Coordinate and define logistics requirements for milestone decisions and other decisions, reviews and assessments, to include independent logistics assessments
  • Prepare and review miscellaneous reports provided to senior management.
  • Assist CPE elements with preparing and providing input into the formulation of short- and long-range logistics and product support planning.
  • Provide input, analysis and recommend changes to logistics resource planning and budgetary products derived from logistics requirements and various enterprise.
  • Support logistics audits and audit readiness testing by completing such actions as collecting existing auditable documents for assessment, examining documents for completeness and proper annotation, verifying document numbers (transactions) and submitting documents to auditors for review.
  • Support CPE efforts to assist Program Offices in managing PM owned and fielded property in an Accountable Property System of Record (APSR) and the Decision Support Tool (DST).
  • Coordinate with Program offices and other CPE representatives to collect data within cPROBE, FMSWeb, and DST and report on authorizations, requirements, projected quantities, fielded equipment, and other data as required to support Army enterprise data transparency.
  • Attend fielding synchronization meetings by coordinating and briefing information associated with CPE systems in support of Unit Set Fielding as required.
  • Assist with 50/50 depot maintenance data collection/consolidation/review, transportation budgetary process; and Program Objective Memorandum (POM) Program Reviews.

Education/Experience:

  • Bachelor’s degree and a minimum two (2) years related work experience is required.
  • Create and maintain various Microsoft Office or similar documents, presentations, and spreadsheet.
  • Operate the Global Combat Support System-Army, a logistics system used to track supplies, organizational equipment and spare parts.
  • Secret security clearance is required.

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