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Internship Ai Data Labeling Jobs in Virginia (NOW HIRING)

Assured Consulting Solutions

AI/ML Engineer

Reston, VA

$175K - $220K/yr

Our model enables our customers to perform critical data labeling tasks over multi-media sources such as video, images, audio, and documents. Our AI/ML Engineer is the core mission specialist who ...

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · On-site

Experience with BI tools, dashboards, data visualization, analytics, machine learning, or AI through work, academic, internship, or project experience. * Interest in aviation, association management ...

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · Hybrid

Experience with BI tools, dashboards, data visualization, analytics, machine learning, or AI through work, academic, internship, or project experience. * Interest in aviation, association management ...

GDIT

GDIT 2027 Summer AI / ML Internship

Falls Church, VA · Hybrid

$22.95 - $31.05/hr

Ability to work with AI Software Tools GDIT interns are paid and full-time (40 hours/week) for 10 ... By proceeding, you authorize the collection, processing, and use of your biometric data for ...

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All JobsAi Data Labeling JobsInternship Ai Data Labeling JobsInternship Ai Data Labeling Jobs in Virginia

Internship Ai Data Labeling information

What is the difference between Internship Ai Data Labeling vs Data Annotation Specialist?

AspectInternship Ai Data LabelingData Annotation Specialist
Required CredentialsHigh school diploma or equivalent; some technical skillsHigh school diploma or higher; technical skills often preferred
Work EnvironmentEntry-level, training-focused, often remote or in-officeProfessional setting, may be remote or on-site, more independent
Employer & Industry UsageTech companies, AI startups, research projectsAI companies, data service providers, tech firms
Search & Comparison IntentUnderstanding entry-level roles in AI data labelingClarifying professional data annotation roles

Internship Ai Data Labeling typically refers to entry-level, training-focused positions aimed at gaining experience in labeling data for AI models. Data Annotation Specialist is a more experienced, professional role involving detailed data labeling tasks. Both roles are essential in AI development, but internships are designed for beginners, while specialists have more responsibility and expertise.

What is an AI data labeling internship?

An AI Data Labeling Internship is a temporary position where interns assist in preparing datasets for machine learning models by accurately annotating, categorizing, or tagging data such as images, text, or audio. Interns learn about the fundamentals of artificial intelligence and the importance of high-quality labeled data in training algorithms. This role is ideal for students or recent graduates interested in AI, data science, or related fields, and provides hands-on experience with data preparation and quality assurance processes.

What are some common challenges faced during an AI data labeling internship, and how can I overcome them?

As an AI Data Labeling intern, you may encounter challenges such as maintaining high accuracy while labeling large volumes of data, understanding complex labeling guidelines, and managing repetitive tasks without losing focus. To overcome these, it's helpful to regularly review the instructions, seek feedback from your team lead, and use productivity techniques to stay engaged. Collaborating with other interns and attending team meetings can also provide valuable insights and help you address uncertainties quickly.

What are the key skills and qualifications needed to thrive as an AI data labeling intern?

To thrive as an AI Data Labeling Intern, you need attention to detail, basic data analysis skills, and familiarity with data annotation concepts, often supported by a background in computer science or related fields. Experience using annotation platforms, spreadsheets, and sometimes specific labeling software is common, though formal certifications are not usually required. Strong communication, time management, and the ability to follow detailed guidelines set high performers apart in this role. These skills ensure accurate, high-quality data sets that are essential for training reliable AI models.
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Internship Ai Data Labeling jobs near you

Classified Infrastructure Systems Engineer

Enabled Intelligence

Falls Church, VA • On-site

$114K - $150K/yr

Full-time

Re-posted 24 days ago

Job description

Classified Infrastructure Systems Engineer

Location: Falls Church, VA

Enabled Intelligence

Enabled 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 Engineer

The 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.

Responsibilities

  • Ensure network security and data protection
  • Ensure compliance with industry/client regulations and standards
  • Complete recurring compliance activities required to maintain accreditation of classified networks
  • Manage Windows and Linux physical and virtual servers
  • Provision user accounts in accordance with security procedures
  • Maintain existing Kubernetes environments and ensure health of deployed applications
  • Provision and configure user workstations in support of onboarding new employees
  • Provide onsite deskside support for user issues
  • Develop and maintain baseline configurations for classified and unclassified desktops
  • Ensure desktop and server compliance with patch management policies
  • Coordinate with Managed Service Providers for system implementation of managed network components
  • Develop scripts and automations to minimize manual input of common tasks
  • Troubleshoot networking connectivity issues on all corporate networks
  • Support quarterly asset audits

Required Qualifications and Skills

  • Significant experience managing IT systems in SIPR, JWICS, and NIPR environments
  • Experience in managing compliance for connected classified networks
  • Ability 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 simultaneously
  • Ability to manage software ATO/SWaP submissions and processes
  • At least 3 years of experience managing Microsoft Windows Server operating systems
  • At least 3 years of experience managing Linux-based operating systems
  • Hands-on experience managing resources in Microsoft 365 environment
  • Experience deploying Kubernetes-based applications into Production
  • Active Top Secret Clearance (with eligibility to garner TS-SCI)
  • Ability to take initiative, ownership and problem solve in a dynamic environment
  • CompTIA Security+
  • Excellent problem solving and communication skills

Desired Qualifications and Skills

  • Hands-on experience with Rocky Linux
  • Technical proficiency with managed Windows desktops
  • Hands-on experience provisioning and managing workstations with Microsoft Intune and Autopilot
  • Hands-on experience managing firewall, switch, and router network devices
  • Hands-on experience supporting AWS environment
  • Active TS/SCI Clearance

Physical Requirements

  • Prolonged 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

Clearance

  • Applicants 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

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