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Ai Annotation Jobs in Virginia (NOW HIRING)

CaseGuard

Data Annotation Specialist

Arlington, VA

$40K - $50K/yr

Review, label, and categorize images to support machine learning and AI model training. * Follow detailed annotation and redaction standards to ensure consistency. * Conduct quality checks to ...

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BlackSky

Staff Engineer, AI

Herndon, VA · On-site

... annotation standards, resolve taxonomy issues, and identify data-quality improvements based on model failure modes. • Independently prototype, evaluate, and deploy AI capabilities in a secure ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site +1

Staff AI Engineer About Us: BlackSky is a real-time intelligence company. We own and operate the ... Collaborate with the Data QA team to define annotation standards, resolve taxonomy issues, and ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site

Staff AI Engineer About Us: BlackSky is a real-time intelligence company. We own and operate the ... Collaborate with the Data QA team to define annotation standards, resolve taxonomy issues, and ...

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All JobsAi Annotation JobsAi Annotation Jobs in Virginia

Ai Annotation information

See Virginia salary details

$10.7K

$45.3K

How much do ai annotation jobs pay per year?

As of Jul 25, 2026, the average yearly pay for ai annotation in Virginia is $43,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,300.00 and $43,800.00 per year, depending on experience, location, and employer.

What is an AI Annotation job?

An AI Annotation job involves labeling, tagging, or annotating data, such as images, text, or audio, to train machine learning models. Annotators help improve AI accuracy by providing high-quality, structured data that algorithms use to learn patterns. Tasks may include identifying objects in images, transcribing speech, or classifying text-based content. This job is essential for developing AI applications like self-driving cars, chatbots, and image recognition systems.

What are the typical daily responsibilities of an AI Annotation specialist?

As an AI Annotation specialist, your typical day will involve accurately labeling, categorizing, or tagging large volumes of images, text, audio, or video data to train AI models according to project guidelines. You may work independently or as part of a team, using specialized annotation platforms and regularly reviewing your work to ensure quality and consistency. Collaboration with data scientists or project managers may be required to clarify ambiguous cases or update labeling criteria. You can expect periodic feedback and performance reviews to help refine your skills and ensure the data meets the project’s standards, making attention to detail and adaptability essential for success.

What are the key skills and qualifications needed to thrive in the Ai Annotation position, and why are they important?

To thrive as an AI Annotation professional, you need keen attention to detail, strong analytical skills, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant technical training. Familiarity with data labeling tools, annotation platforms such as Labelbox or Supervisely, and basic spreadsheet or database management is commonly required. Strong communication, time management, and the ability to maintain focus during repetitive tasks are standout soft skills. These abilities are crucial for producing high-quality, consistent data that supports the effective development and accuracy of AI models.

What are the most commonly searched types of Ai Annotation jobs in Virginia? The most popular types of Ai Annotation jobs in Virginia are:
What are popular job titles related to Ai Annotation jobs in Virginia? For Ai Annotation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Ai Annotation jobs in Virginia look for? The top searched job categories for Ai Annotation jobs in Virginia are:
What cities in Virginia are hiring for Ai Annotation jobs? Cities in Virginia with the most Ai Annotation job openings:
Ai Annotation jobs near you
Infographic showing various Ai Annotation job openings in Virginia as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $43,637 per year, or $21 per hour.

Mid-level Imagery Analyst (Data Annotation)

Vantor

Falls Church, VA • On-site

Full-time

Posted 11 days ago

Job description

Job Summary:
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. The mid-level Imagery Analyst will guide and improve annotation workflows, perform quality validation efforts, mentor junior team members, and drive continuous improvement in annotation standards to support mission-critical AI/ML development.
Responsibilities:
• Provide quality assurance reviews of annotated geospatial imagery
• Train and mentor junior annotators on best practices
• Identify systemic annotation issues and drive corrective actions
• Validate annotation accuracy across multiple formats (bounding boxes, segmentation, center points)
• Collaborate with peers, quality lead, program managers, and other critical partners to align data output with downstream model needs
• Recommend and implement improvements to annotation tools and processes
• Write and maintain annotation guidelines and quality control documentation
Qualifications:
Required:
• U.S. citizenship and active TS/SCI clearance
• 3+ years of experience with EO, SAR, COMINT, and/or commercial imagery analysis and geospatial data annotation
• Proficiency in geospatial software tools (e.g., ArcGIS, QGIS)
• Experience using Remote View, SOCET GXP, and/or Fade/Mist
• Demonstrated leadership in data validation or quality assurance processes
• Experience with object classification, visual QA, and annotation feedback cycles
Preferred:
• Experience supporting government or defense missions
• Familiarity with automated quality metrics or annotation pipelines
• Experience with SAR-specific feature analysis
• Basic scripting or automation (e.g., Python, Jupyter) is a plus
• Prior experience writing SOPs or developing team workflows
Company:
A spatial intelligence firm. Founded in 2025, the company is headquartered in Denver, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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