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Data Annotation Manager Jobs in Gaithersburg, MD

Seekr

Senior Data Scientist

Reston, VA · On-site

Manage machine learning algorithm lifecycle * Support pre-sales efforts, identifying how the Seekr Platform could help satisfy customer requirements * Coordinate data collection and annotation ...

BCC - LH

Subject Matter Expert- RxNav

Bethesda, MD · On-site

Department of Health and Human Services (DHHS) agencies to develop data science solutions to ... Experience in content development and/or text annotation (e.g., annotation of certain types of ...

BCC - LH

Subject Matter Expert- RxNav

Bethesda, MD

Department of Health and Human Services (DHHS) agencies to develop data science solutions to ... Experience in content development and/or text annotation (e.g., annotation of certain types of ...

Innodata Inc.

QA / Evaluation Lead

Washington, DC · On-site

$45 - $50/hr

Prior DoD or IC data quality program experience * CVAT or equivalent annotation platform QC ... Note to Candidates: This role is not a project manager with QC responsibilities - it is a ...

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All JobsData Annotation JobsData Annotation Manager JobsData Annotation Manager Jobs in Gaithersburg, MD

Data Annotation Manager information

See Gaithersburg, MD salary details

$33.5K

$105K

$185.8K

How much do data annotation manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data annotation manager in Gaithersburg, MD is $104,960.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,300.00 and $135,600.00 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 are the most commonly searched types of Data Annotation jobs in Gaithersburg, MD?

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

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

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

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

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

Data Annotation Manager jobs near you

Classified Infrastructure Systems Engineer

Enabled Intelligence

Falls Church, VA • On-site

$114K - $150K/yr

Full-time

Re-posted 16 days ago

Job description

Classified Infrastructure Systems EngineerLocation: Falls Church, VA Enabled IntelligenceEnabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs.  Every Enabled solution starts with a team of highly-trained, US based data analysts that have both subject-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation.    At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved!  If the idea of working in a collaborative, energetic and people focused environment where we are working together to build something meaningful excites you, Enabled Intelligence might just be the team you are looking for!   Classified Infrastructure Systems EngineerThe Classified Infrastructure Systems Engineer will provide on-site support to manage the Enabled Intelligence systems including desktops, physical servers, Kubernetes environments, and cloud-based platforms on both the unclassified and classified networks. This role includes close coordination with external Managed Service Providers, and requires deep knowledge and adherence to IT security policies.ResponsibilitiesEnsure network security and data protectionEnsure compliance with industry/client regulations and standardsComplete recurring compliance activities required to maintain accreditation of classified networksManage Windows and Linux physical and virtual serversProvision user accounts in accordance with security proceduresMaintain existing Kubernetes environments and ensure health of deployed applicationsProvision and configure user workstations in support of onboarding new employeesProvide onsite deskside support for user issuesDevelop and maintain baseline configurations for classified and unclassified desktopsEnsure desktop and server compliance with patch management policiesCoordinate with Managed Service Providers for system implementation of managed network componentsDevelop scripts and automations to minimize manual input of common tasksTroubleshoot networking connectivity issues on all corporate networksSupport quarterly asset auditsRequired Qualifications and SkillsSignificant experience managing IT systems in SIPR, JWICS, and NIPR environmentsExperience in managing compliance for connected classified networksAbility to maintain on-prem CWAN, SCWAN, and stand-alone networks.Experience in managing classified IT resources and networks supporting multiple DoD and IC client programs simultaneouslyAbility to manage software ATO/SWaP submissions and processesAt least 3 years of experience managing Microsoft Windows Server operating systemsAt least 3 years of experience managing Linux-based operating systemsHands-on experience managing resources in Microsoft 365 environmentExperience deploying Kubernetes-based applications into ProductionActive Top Secret Clearance (with eligibility to garner TS-SCI)Ability to take initiative, ownership and problem solve in a dynamic environmentCompTIA Security+Excellent problem solving and communication skillsDesired Qualifications and SkillsHands-on experience with Rocky LinuxTechnical proficiency with managed Windows desktopsHands-on experience provisioning and managing workstations with Microsoft Intune and AutopilotHands-on experience managing firewall, switch, and router network devicesHands-on experience supporting AWS environmentActive TS/SCI Clearance  Physical RequirementsProlonged periods of sitting at a desk and working on a computer Ability to lift 25lbs and set up workstations including monitors, desktop computers and hardware ClearanceApplicants selected will be subject to a standard background check and are required to hold an active TS clearance, with eligibility to obtain at TS-SCI. Work Location Enabled Intelligence office in Falls Church, VA with some travel to client offices in National Capital Region and St. Louis, MO. Enabled Intelligence is an Equal Opportunity Employer
Job Posted by ApplicantPro