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Cvat Annotation Jobs in Washington (NOW HIRING)

Innodata Inc.

Data & Annotation Engineer

Washington, DC

$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

$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 ...

Innodata Inc.

Data Annotator

Washington, DC

Working familiarity with at least one professional annotation platform (for example CVAT, V7 Darwin, Labelbox, Scale, or comparable). * Practical understanding of bounding boxes, segmentation masks ...

New

Innodata Inc.

QA / Evaluation Lead

Washington, DC

$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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Infographic showing various Cvat Annotation job openings in Washington as of August 2026, with employment types broken down into 59% Full Time, 7% Part Time, and 34% Contract. Highlights an 57% In-person, and 43% Remote job distribution.

Data & Annotation Engineer

Washington, DC

Innodata Inc.
IT Services • 501 - 1,000 employees
Learn more about Innodata Inc.external

$55 - $60/hr

Full-time

Re-posted 4 days ago

Key responsibilities

  • Administer the annotation toolchain, manage annotation workflows, and produce documentation for governance.

  • Configure and operate the CVAT annotation pipeline during corpus production.

  • Support quality control and associate provenance records with annotated and synthetic outputs.

Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

About the Program: 

Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.

About the Role: 

As the Data/Annotation Engineer, you'll be hands-on with the data itself. You'll administer the annotation toolchain, manage annotation workflows across the corpus, and produce the per-dataset documentation that feeds our governance framework. You'll work with the AI Solutions Engineer to ensure the data going into our models is accurate, well-labeled, and fully traceable. This role is for someone detail-obsessed who understands that great AI starts with disciplined, well-governed data.

Key Responsibilities:

  • 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

Must-Have Qualifications:

  • 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

Nice-to-Have Qualifications:

  • Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis
  • 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 data: IAA methodology, drift detection, model performance measurement
  • Video understanding or FMV annotation experience
  • DataCard or ML data provenance framework familiarity

The expected hourly salary range for this position is $55 to $60 p/hour, based on experience, skills, and qualifications.

Note to Candidates: 

Phase D corpus production (Weeks 17-19) is the core demonstration deliverable. Candidates must be genuinely comfortable operating CVAT at production quality against a mission dataset under a milestone deadline

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