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Internship Data Annotation Analyst Jobs in Washington

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Internship Data Annotation Analyst information

What is the difference between Internship Data Annotation Analyst vs Data Labeling Specialist?

AspectInternship Data Annotation AnalystData Labeling Specialist
CredentialsTypically pursuing or recent graduate in related fieldRelevant certifications or experience preferred
Work EnvironmentInternship setting, often in tech or AI companiesFull-time or freelance roles in data annotation companies
Industry UsageCommon in AI, machine learning, and tech industriesUsed across AI, autonomous vehicles, and healthcare sectors

The Internship Data Annotation Analyst is usually an entry-level role for students or recent graduates gaining experience in data annotation. In contrast, Data Labeling Specialists are more experienced professionals focused on accurately labeling data for AI models. Both roles are essential in AI development, but the internship provides learning opportunities, while the specialist role involves more independent work and expertise.

What are the most commonly searched types of Data Annotation Analyst jobs in Washington? The most popular types of Data Annotation Analyst jobs in Washington are:
What cities in Washington are hiring for Internship Data Annotation Analyst jobs? Cities in Washington with the most Internship Data Annotation Analyst job openings:

Senior Imagery Analyst (Data Annotation)

Vantor

Falls Church, VA โ€ข On-site

$91K - $115K/yr

Full-time

Posted 29 days ago


Job description

Job Summary:
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate whatโ€™s happening now and shape whatโ€™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:
โ€ข Provide quality assurance reviews of annotated geospatial imagery
โ€ข Train and mentor junior annotators on best practices
โ€ข Identify systemic annotation issues and drive corrective actions
โ€ข Validate annotation accuracy across multiple formats (bounding boxes, segmentation, center points)
โ€ข Collaborate with peers, quality lead, program managers, and other critical partners to align data output with downstream model needs
โ€ข Recommend and implement improvements to annotation tools and processes
โ€ข Write and maintain annotation guidelines and quality control documentation
Qualifications:
Required:
โ€ข U.S. citizenship and active TS/SCI clearance
โ€ข 7+ years of experience with EO, SAR, COMINT, and/or commercial imagery analysis and geospatial data annotation
โ€ข Proficiency in geospatial software tools (e.g., ArcGIS, QGIS)
โ€ข Experience using Remote View, SOCET GXP, and/or Fade/Mist
โ€ข Demonstrated leadership in data validation or quality assurance processes
โ€ข Experience with object classification, visual QA, and annotation feedback cycles
Preferred:
โ€ข Experience supporting government or defense missions
โ€ข Familiarity with automated quality metrics or annotation pipelines
โ€ข Experience with SAR-specific feature analysis
โ€ข Basic scripting or automation (e.g., Python, Jupyter) is a plus
โ€ข 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.