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Annotation Labelling Jobs in Ashburn, VA (NOW HIRING)

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Annotation Labelling information

What is annotation labelling?

Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.

What are the key skills and qualifications needed to thrive as an annotation labelling specialist?

To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.

What are some common challenges faced by annotation labelling professionals, and how can they be managed?

Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.

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

AspectAnnotation LabellingData Labeling Specialist
CredentialsBasic technical skills, attention to detailSimilar skills, sometimes additional domain knowledge
Work EnvironmentData annotation platforms, remote or officeData annotation tasks, often remote or in-office
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, healthcare, retail
Search & ComparisonCommonly compared for entry-level data tasksRelated but broader role

Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.

What are popular job titles related to Annotation Labelling jobs in Ashburn, VA?

For Annotation Labelling jobs in Ashburn, VA, the most frequently searched job titles are:

What cities near Ashburn, VA are hiring for Annotation Labelling jobs?

Cities near Ashburn, VA with the most Annotation Labelling job openings:

Classified Infrastructure Systems Engineer

Falls Church, VA • On-site

Enabled Intelligence
11 - 50 employees

$180K - $220K/yr

Full-time

Re-posted 28 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