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Cvat Annotation Jobs in Washington (NOW HIRING)

Jobtailor

Data Annotation Engineer

Washington, DC · On-site

$120 - $180/hr

Configure CVAT annotation pipeline against the Phase 1 starter kit rule pack * Operate both self-service and lightweight white-glove annotation paths during Phase D corpus production * Produce 50-100 ...

New

Innodata Inc.

Data & Annotation Engineer

Washington, DC · On-site

$55 - $60/hr

Configure CVAT annotation pipeline against the Phase 1 starter kit rule pack * Operate both self-service and lightweight white-glove annotation paths during Phase D corpus production * Produce 50-100 ...

Innodata Inc.

AI Solutions Engineer

Washington, DC · On-site

$75 - $80/hr

CVAT annotation platform - AI feature configuration and operation * DoD or IC data program experience: CUI, distribution statements, federal data governance * Evaluation design for AI/ML training ...

Jobtailor

Technical Project Manager

Washington, DC · On-site

$120 - $150/hr

Administer CVAT + SAM 2 toolchain in coordination with the Data & Annotation Engineer * Facilitate standups, working sessions, and phase gate preparation * Coordinate Technical Writer onboarding and ...

Innodata Inc.

QA / Evaluation Lead

Washington, DC · On-site

$45 - $50/hr

CVAT or equivalent annotation platform QC workflow configuration * Drift detection and model monitoring methodology * Experience with FMV / video annotation quality standards The expected hourly ...

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Cvat Annotation information

What is a cvat annotation?

A CVAT annotation job involves labeling images or videos using the Computer Vision Annotation Tool (CVAT) to create datasets for machine learning models. Annotators draw bounding boxes, polygons, or other shapes around objects of interest to help train AI systems in tasks like object detection, segmentation, and classification. This job requires attention to detail, familiarity with annotation guidelines, and sometimes domain-specific knowledge depending on the project.

What does a cvat annotation do?

As a CVAT Annotation professional, your daily tasks generally include reviewing and labeling large volumes of images or videos using the CVAT platform, ensuring precise and consistent annotations according to project guidelines. You may also be responsible for double-checking the accuracy of your labels, collaborating with data scientists or project managers to clarify requirements, and providing feedback to improve annotation processes. Depending on the project's complexity, you might handle multiple data types or contribute to developing new labeling standards. This work is usually part of a team environment, where clear communication and quality control are highly valued. Successfully handling these responsibilities helps create reliable datasets for computer vision projects and AI systems.

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

To thrive as a CVAT Annotation specialist, you need keen attention to detail, familiarity with data labeling concepts, and a solid understanding of image and video annotation techniques. Experience with CVAT (Computer Vision Annotation Tool) or similar annotation platforms is essential, and knowledge of basic computer vision or machine learning principles can be beneficial. Strong organizational skills, patience, and the ability to work both independently and collaboratively help set top performers apart. These skills ensure high-quality, accurate annotations that are crucial for training effective AI and machine learning models.

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Cvat Annotation jobs near you
Infographic showing various Cvat Annotation job openings in Washington as of August 2026, with employment types broken down into 55% Full Time, and 45% Contract. Highlights an 76% In-person, and 24% Remote job distribution.

Data Annotation Engineer

Jobtailor

Washington, DC • On-site

$120 - $180/hr

Other

Posted 3 days ago

New

Job description

  • Receive, validate, ingest, and ontology-map the ODIN mission-aligned corpus from AFS delivery
  • Produce the ODIN load report: corpus description, ontology mapping, readiness state
  • Configure CVAT annotation pipeline against the Phase 1 starter kit rule pack
  • Operate both self-service and lightweight white-glove annotation paths during Phase D corpus production
  • Produce 50-100 label demonstration corpus across synthetic and mission-aligned content
  • Support QA/Evaluation Lead on QC execution and corpus annotation dry-runs
  • Associate DataCard provenance records with annotated and synthetic outputs in coordination with the Solution Architect.
Requirements
  • Bachelor's degree in Data Science, Computer Science, or related field preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
  • 5+ years total professional experience, 3+ years in data engineering or annotation operations
  • CVAT - deployment and day-to-day operation required; this is not a nice-to-have
  • Annotated dataset ingest pipelines: schema mapping, format validation, ontology alignment
  • Full-motion video (FMV) annotation concepts and tooling
  • Python scripting for data wrangling, validation, and format conversion
  • Active Secret clearance with TS/SCI eligibility.
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