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Freelance Ai Data Annotation Jobs in Reston, VA (NOW HIRING)

M9 Solutions

Federal AI Engineer

Fort Belvoir, VA · On-site

$138K - $153K/yr

M9 Solutions is dedicated to providing IT services and solutions to the Federal Government by mobilizing the right people, skills, clearance levels, and technologies to help organizations that desire

M9 Solutions

Federal AI Engineer

Fort Belvoir, VA · On-site

$138K - $153K/yr

M9 Solutions is dedicated to providing IT services and solutions to the Federal Government by mobilizing the right people, skills, clearance levels, and technologies to help organizations that desire

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Freelance Ai Data Annotation information

See Reston, VA salary details

$12

$21

$36

How much do freelance ai data annotation jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for freelance ai data annotation in Reston, VA is $21.08, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $23.27 per hour, depending on experience, location, and employer.

What does a freelance AI data annotator do?

A Freelance AI Data Annotation job involves labeling, tagging, or categorizing data to train artificial intelligence models. This can include tasks like identifying objects in images, transcribing audio, or classifying text. Annotators follow specific guidelines to ensure consistency and accuracy so that the AI can learn from high-quality, well-labeled datasets. These jobs are typically remote, flexible, and can be project-based, making them popular for freelancers. Attention to detail and the ability to follow instructions are key skills for success in this role.

What skills and qualifications are needed to be a freelance AI data annotator?

To thrive as a Freelance AI Data Annotator, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Experience with annotation platforms, labeling tools, and sometimes knowledge of spreadsheet software or project management systems is typically required. Reliability, time management, and effective communication are standout soft skills for meeting project deadlines and collaborating with remote teams. These skills are crucial for ensuring high-quality, accurate data annotations that directly impact the performance of AI models.

What are common challenges faced by freelance AI data annotators, and how can they be addressed?

Freelance AI data annotators often encounter challenges such as maintaining consistency in labeling, meeting tight deadlines, and managing repetitive tasks. To address these, it's important to thoroughly understand the project guidelines, seek clarification from clients when needed, and use annotation tools efficiently. Regular communication with project managers and participating in quality checks can also help ensure accuracy and smooth workflow. Building a routine and taking short breaks can reduce fatigue and improve focus.

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

AspectFreelance Ai Data AnnotationFreelance Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexibleRemote, flexible
Industry UsageAI and machine learning projectsData organization and categorization
Job FocusAnnotating data for AI trainingLabeling data for various purposes

Freelance Ai Data Annotation involves preparing data specifically for AI models, often requiring understanding of annotation tools. Freelance Data Labeler may perform similar tasks but can include broader data labeling roles. Both roles are remote, flexible, and essential for data-driven industries, but Ai Data Annotation is more specialized for AI development projects.

What are popular job titles related to Freelance Ai Data Annotation jobs in Reston, VA?

For Freelance Ai Data Annotation jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Freelance Ai Data Annotation jobs in Reston, VA look for?

The top searched job categories for Freelance Ai Data Annotation jobs in Reston, VA are:

What cities near Reston, VA are hiring for Freelance Ai Data Annotation jobs?

Cities near Reston, VA with the most Freelance Ai Data Annotation job openings:

Freelance Ai Data Annotation jobs near you

Classified Infrastructure Systems Engineer

Falls Church, VA • On-site

Enabled Intelligence
11 - 50 employees
Learn more about Enabled Intelligenceexternal

$180K - $220K/yr

Full-time

Re-posted 11 hours 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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