ZipRecruiter

Log In

1

Annotation Qa Jobs in Virginia (NOW HIRING)

Vets2PM

CAD/Revit Drafter - Level II

Arlington, VA · On-site

$42.50 - $52/hr

... quality assurance processes. Core Responsibilities : * Draft and revise 2D AutoCAD drawings and 3D ... Proficiency in AutoCAD (2D drafting, layering, and annotation) and Revit (3D modeling, plan ...

Vets2PM

CAD/Revit Drafter - Level II

Arlington, VA

$42.50 - $52/hr

... quality assurance processes Core Responsibilities: Draft and revise 2D AutoCAD drawings and 3D ... Proficiency in AutoCAD (2D drafting, layering, and annotation) and Revit (3D modeling, plan ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site +1

Collaborate with the Data QA team to define annotation standards, resolve taxonomy issues, and identify data-quality improvements based on model failure modes. * Independently prototype, evaluate ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site

Collaborate with the Data QA team to define annotation standards, resolve taxonomy issues, and identify data-quality improvements based on model failure modes. * Independently prototype, evaluate ...

next page

Showing results 1-20

All JobsAnnotation Qa JobsAnnotation Qa Jobs in Virginia

Annotation Qa information

What is the difference between Annotation Qa vs Data Labeler?

AspectAnnotation QaData Labeler
Required CredentialsBasic technical skills, sometimes certifications in data annotation toolsBasic computer skills, sometimes certifications in labeling software
Work EnvironmentOffice or remote, collaborative with annotation teamsRemote or on-site, focused on labeling tasks
Industry UsageUsed in AI, machine learning, and data annotation companiesCommon in AI, machine learning, and data preparation sectors
Search & Comparison IntentOften compared for quality assurance roles in data annotationCompared for entry-level data preparation roles

Annotation Qa and Data Labeler roles are closely related in the data annotation industry. Annotation Qa focuses on quality assurance, reviewing and verifying labeled data, while Data Labelers perform the initial labeling tasks. Both require similar technical skills and work environments, but Annotation Qa emphasizes quality control processes. Understanding these differences helps employers and job seekers identify the right role based on skills and career goals.

How hard is it to get hired by data annotation?

Getting hired as a data annotation specialist generally requires basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible, though competition can vary based on the employer and job volume.

Is AI annotation legit?

AI annotation is a legitimate task involving labeling data to train machine learning models, often performed by annotation QA specialists to ensure accuracy. It requires attention to detail and familiarity with annotation tools, and is a common part of AI development workflows.

Is data annotation still hiring?

Data annotation roles are currently in demand as companies continue to develop AI and machine learning models. These jobs often require attention to detail and familiarity with annotation tools, and many positions are available for remote work with flexible schedules.

What is annotation qa?

Annotation QA (Quality Assurance) involves reviewing and verifying data annotations to ensure accuracy and consistency in datasets used for machine learning models. It typically requires attention to detail, understanding of annotation guidelines, and familiarity with annotation tools. The role helps improve data quality for training AI systems.
What are popular job titles related to Annotation Qa jobs in Virginia? For Annotation Qa jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Annotation Qa jobs in Virginia look for? The top searched job categories for Annotation Qa jobs in Virginia are:
What cities in Virginia are hiring for Annotation Qa jobs? Cities in Virginia with the most Annotation Qa job openings:
Annotation Qa jobs near you

Senior Imagery Analyst (Data Annotation)

Vantor

Falls Church, VA • On-site

$91K - $115K/yr

Full-time

Re-posted 1 hour 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. They are seeking a detail-oriented Senior Imagery Analyst (Data Annotation) to guide and improve annotation workflows across EO, SAR, and commercial imagery while performing quality validation efforts and mentoring junior team members.
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
• 7+ 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.

Apply