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Ai Tagging Jobs in Virginia (NOW HIRING)

AI Developer

Springfield, VA · On-site

$100K - $125K/yr

Develop and integrate AI/ML solutions to enhance records management practices , including classification review, metadata tagging, digitization workflows, and compliance with DoD and Federal records ...

Senior Platform Engineer

Richmond, VA · On-site

$103K - $142K/yr

Strong Git/GitHub skills, including branching strategies, pull requests, code reviews, tagging, releases, merges, and conflict resolution. * Experience using AI tools (e.g., ChatGPT, GitHub Copilot ...

Cloud Engineer

Radford, VA · On-site

$95 - $130/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... tagging standards, and cost controls. * Implement Infrastructure as Code (IaC) using Terraform, AWS ...

As AI Prompt And Skills Engineer, You Will * Writes, tests and refines prompts across Tax ... Curates and organizes the Firm's prompt library, tagging entries by service line, use case type ...

AI Prompt and Skills Engineer

Richmond, VA · On-site

$71K - $92K/yr

As AI Prompt and Skills Engineer, you will: * Writes, tests and refines prompts across Tax ... Curates and organizes the Firm's prompt library, tagging entries by service line, use case type ...

Cloud Engineer with Security Clearance

Radford, VA · On-site

$53 - $70.75/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... tagging standards, and cost controls. * Implement Infrastructure as Code ( IaC ) using Terraform ...

Cloud Engineer

Richmond, VA · Hybrid

$55.25 - $73.75/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... tagging standards, and cost controls. * Implement Infrastructure as Code (IaC) using Terraform, AWS ...

Cloud Engineer

Reston, VA · Hybrid

$58 - $77.50/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... tagging standards, and cost controls. * Implement Infrastructure as Code (IaC) using Terraform, AWS ...

Cloud Engineer

Roanoke, VA · Hybrid

$54.75 - $73/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... tagging standards, and cost controls. * Implement Infrastructure as Code (IaC) using Terraform, AWS ...

Cloud Engineer

Roanoke, VA · Hybrid

$54.75 - $73/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... tagging standards, and cost controls. * Implement Infrastructure as Code (IaC) using Terraform, AWS ...

Cloud Engineer

Radford, VA · On-site

$53 - $70.75/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... tagging standards, and cost controls. * Implement Infrastructure as Code (IaC) using Terraform, AWS ...

Cloud Engineer

Reston, VA · Hybrid

$58 - $77.50/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... tagging standards, and cost controls. * Implement Infrastructure as Code (IaC) using Terraform, AWS ...

Cloud Engineer

Richmond, VA · Hybrid

$55.25 - $73.75/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... tagging standards, and cost controls. * Implement Infrastructure as Code (IaC) using Terraform, AWS ...

Cloud Engineer

Radford, VA · Hybrid

$53 - $70.75/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... tagging standards, and cost controls. * Implement Infrastructure as Code (IaC) using Terraform, AWS ...

Cloud Engineer

Radford, VA · Hybrid

$53 - $70.75/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... tagging standards, and cost controls. * Implement Infrastructure as Code (IaC) using Terraform, AWS ...

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Showing results 1-20

Ai Tagging information

What is an AI tagging?

An AI Tagging job involves labeling or annotating data to help train machine learning models. This can include tagging images, videos, text, or audio with relevant metadata so that AI systems can recognize patterns and improve accuracy. AI taggers follow specific guidelines to ensure consistency and quality in the annotations. It's a crucial step in developing AI systems for tasks like image recognition, natural language processing, and recommendation algorithms.

What does an AI tagging do?

A typical day for an AI Tagging professional includes reviewing and labeling large sets of data—such as images, audio, or text—according to specific guidelines provided by the project. You may spend time collaborating with data scientists or project managers to clarify labeling instructions or resolve ambiguous cases. Work is usually structured with clear quality and productivity targets, and you might also participate in feedback sessions to improve annotation consistency. The pace can be steady, with periods of high concentration, and you may use specialized software platforms to manage your workflow. Team communication and attention to detail are key aspects of the job each day.

What are the key skills and qualifications needed to thrive in AI tagging?

To thrive in AI Tagging, you need strong attention to detail, data annotation skills, and familiarity with data quality standards, often backed by experience or coursework in information science or computer science. Familiarity with data labeling platforms, image and text annotation tools, and occasionally basic programming or scripting knowledge is beneficial. Strong organizational skills, patience, and the ability to work efficiently both independently and within a team distinguish top performers in this role. These skills ensure the accurate and efficient creation of high-quality labeled datasets that are essential for training and improving AI models.

Infographic showing various Ai Tagging job openings in Virginia as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Developer

QualX Corporation

Springfield, VA • On-site

$100K - $125K/yr

Full-time

Re-posted 2 days ago


Job description

Job Title
AI Developer
Location
Springfield, VA 22150 US (Primary)
Category
Information Technology
Job Type
Full-Time
Career Level
Staff
Education
Bachelor's Degree
Travel
Security Clearance Required
TS
Job Description
Overview
We are seeking a highly skilled AI Developer to design, develop, and deploy advanced artificial intelligence and machine learning solutions in support of both Department of Defense (DoD) and corporate initiatives within a classified environment. The successful candidate will combine technical expertise in AI/ML with experience in data analytics, records management, and regulatory compliance, ensuring solutions are aligned with mission needs and compliant with DoD policies and standards.
Responsibilities
  • Design, develop, and implement AI/ML models, algorithms, and workflows to address mission and business challenges.
  • Apply data analytics methodologies to extract insights from structured and unstructured data, supporting decision-making across DoD and corporate domains.
  • Develop and integrate AI/ML solutions to enhance records management practices, including classification review, metadata tagging, digitization workflows, and compliance with DoD and Federal records requirements.
  • Ensure AI/ML solutions align with and implement relevant DoD policies, rules, and regulations (e.g., RMF, DoDI 5015.02 for records management, DoD AI Ethical Principles, NARA and OMB guidance).
  • Collaborate with DoD stakeholders, program managers, and corporate leadership to define technical requirements and deliver mission-focused solutions.
  • Conduct data engineering tasks, including data curation, feature engineering, and model optimization for classified datasets.
  • Support the integration of AI and analytics into enterprise-level applications and mission systems, ensuring security and scalability.
  • Stay current with cutting-edge AI/ML and data analytics research and recommend practical applications to mission use cases.
  • Mentor junior staff and contribute to corporate AI strategy, including cross-domain training in AI, analytics, and compliance.

Job Requirements
Required Qualifications
  • Active Top Secret clearance (SCI eligibility preferred).
  • Bachelor's degree in Computer Science, Data Science, Engineering, Information Management, or related field; Master's preferred.
  • 5-10+ years of experience in AI/ML development and data analytics.
  • Proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face, etc.).
  • Familiarity with DoD and Federal records management policies, including metadata standards.
  • Proven experience developing AI solutions in compliance with DoD rules, regulations, and security frameworks.
  • Strong communication skills with the ability to translate technical outputs into actionable insights for senior leadership.

Desired Qualifications
  • Experience with natural language understanding (NLU), large language models (LLMs), reinforcement learning, and generative AI applied to document/records processing.
  • Familiarity with cloud environments (AWS GovCloud, Azure Government, or on-prem HPC).
  • Experience with DevSecOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes).
  • Knowledge of DoD data management policies, DoDI 5015.02, NARA guidance, and CUI handling.
  • Prior experience supporting Government contracting efforts
Salary range for this is position is $100,000-$125,000 annualy.
We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law.

QualX logo

About QualX

Sourced by ZipRecruiter

Industry

Library and information services

Company size

51 - 200 Employees

Headquarters location

Springfield, VA, US

Year founded

2009