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# Data & Annotation Engineer

- **Company:** Innodata Inc
- **Location:** Falls Church, VA, United States
- **Experience:** Experienced
- **Salary:** $114,400.0 - $124,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Datacards, Information Engineering, Data Governance, Machine Learning, Data Processing, Scripting, SC Clearance, Information Technology
- **Published:** July 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=db05b1189f5f0fea

## About the Role

* 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, * 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

## Description

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., * 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


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