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Data Annotation For Ai Jobs in Virginia (NOW HIRING)

AI Data Analyst

Lynchburg, VA · On-site

$85K - $116K/yr

Design and implement data preparation workflows optimized for: * LLM ingestion * Retrieval ... Work with engineering and AI teams to improve data quality and retrieval effectiveness * Build and ...

AI Data Engineer

Fort Belvoir, VA · On-site +1

$160K - $200K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia. The AI Data Engineer will design, develop, and ...

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Data Annotation For Ai information

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.
What job categories do people searching Data Annotation For Ai jobs in Virginia look for? The top searched job categories for Data Annotation For Ai jobs in Virginia are:
What cities in Virginia are hiring for Data Annotation For Ai jobs? Cities in Virginia with the most Data Annotation For Ai job openings:
Infographic showing various Data Annotation For Ai job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Classified Infrastructure Systems Engineer

Enabled Intelligence

Falls Church, VA • On-site

$180K - $220K/yr

Full-time

Re-posted 20 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