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Data Annotation Tech Jobs in Virginia (NOW HIRING)

Vets2PM

CAD/Revit Drafter - Level II

Arlington, VA

$42.50 - $52/hr

Support data integration efforts by attaching project attributes and relevant metadata to model ... Proficiency in AutoCAD (2D drafting, layering, and annotation) and Revit (3D modeling, plan ...

Beyond SOF

Full Stack Developer (Java Developer)

Reston, VA · On-site

$54.50 - $70.50/hr

Designs how data will be stored, accessed, used, integrated, and managed by different data regimes ... Participates in the selection of backend database technologies (e.g. SQL, NoSQL, HPC, etc.), their ...

Beyond SOF

Full Stack Developer (Java Developer)

Reston, VA · On-site

$54.50 - $70.50/hr

Designs how data will be stored, accessed, used, integrated, and managed by different data regimes ... Participates in the selection of backend database technologies (e.g. SQL, NoSQL, HPC, etc.), their ...

BAE Systems

Imagery Anst Sr

Falls Church, VA · On-site

Experience with Machine Learning training data creation, annotation, and review as well as ... We're developing breakthrough technologies that defend national security and make a lasting impact ...

Soch Inc

Angular Full Stack Developer

Richmond, VA · On-site

$65 - $75/hr

... technology, and user experience . In this role you will be responsible to manage the software ... Ensure smooth data handling between frontend and backend through efficient API integration.

BAE Systems

Imagery Anst Sr

Falls Church, VA · On-site

We're developing breakthrough technologies that defend national security and make a lasting impact ... Experience with AI/ML training data creation, annotation, validation, review, or Structured ...

BAE Systems

Imagery Anst Sr

Falls Church, VA · On-site

We're developing breakthrough technologies that defend national security and make a lasting impact ... Experience with AI/ML training data creation, annotation, validation, review, or Structured ...

Dewberry

BIM Manager (Bentley)

Fairfax, VA · On-site

$99K - $127K/yr

Dewberry seeks a Transportation Model Manager (Bentley Systems) to join our Design Technology ... As a Transportation Model Manager, you will proactively manage model health and common data ...

Dewberry

BIM Manager (Bentley)

Fairfax, VA · On-site +1

Dewberry seeks a Transportation Model Manager (Bentley Systems) to join our Design Technology ... As a Transportation Model Manager, you will proactively manage model health and common data ...

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How much do data annotation tech jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data annotation tech in Virginia is $22.65, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $26.92 per hour, depending on experience, location, and employer.

What is a data annotation tech?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

What does a data annotation tech do?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

What are the key skills and qualifications needed to thrive as a data annotation tech?

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What are the most commonly searched types of Data Annotation Tech jobs in Virginia?

The most popular types of Data Annotation Tech jobs in Virginia are:

What are popular job titles related to Data Annotation Tech jobs in Virginia?

For Data Annotation Tech jobs in Virginia, the most frequently searched job titles are:

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Data Annotation Tech jobs near you
Infographic showing various Data Annotation Tech job openings in Virginia as of September 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 100% In-person job distribution, with an average salary of $47,105 per year, or $22.6 per hour.

Junior/Middle Computer Vision Engineer ID72410

Richmond, VA • On-site

AgileEngine, LLC.
Software Development • 201 - 500 employees
Learn more about AgileEngine, LLC.external

Other

Posted 24 days ago

Job description

Full time | AgileEngine | United States

Job Information

City Richmond

State/Province Virginia

23173

IT Services

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Junior/Middle Computer Vision Engineer to support high-volume execution across data preparation, model training, and evaluation for an AI team working with large-scale image and video datasets. You will curate and manage annotation workflows, run model training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis. The role offers a clear growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience.

WHAT YOU WILL DO
  • - Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure the highest standards for dataset quality;
  • - Run model training and evaluation jobs, ensuring experiments are executed smoothly and efficiently;
  • - Document training results, maintain ongoing evaluation benchmarks, and track model performance over time;
  • - Collaborate with senior engineers to analyze model failure cases and identify areas for data or algorithmic improvement;
  • - Take ownership of foundational tasks that support the broader team’s AI/ML lifecycle, directly contributing to the speed and success of production deployments.
MUST HAVES
  • - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
  • - 1 to 3 years of experience in software engineering, data science, machine learning, or a related field;
  • - Degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience);
  • - Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
  • - Foundational coding skills in Python;
  • - Foundational understanding of machine learning concepts and workflows;
  • - Basic knowledge of computer vision principles (e.g., image processing, object detection basics);
  • - Basic familiarity with cloud environments and compute resources;
  • - A strong, demonstrable willingness to learn and adapt in a fast-paced, mentorship-driven environment;
  • - Excellent attention to detail, specifically regarding data quality and documentation;
PERKS AND BENEFITS
  • - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • - Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • - Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • - Flextime: Flexible schedule with remote and office options.
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