Innodata
Data & Annotation Engineer
Hybrid - Washington D.C +1 · Remote · Full-time · Posted Jul 9, 2026
- Location
- Hybrid - Washington D.C
ISL - Remote - US - Experience
- 5+ years total professional experience, including 3+ years in data engineering or annotation operations.
- Education
- Bachelor’s degree in Data Science, Computer Science, or a related field preferred; equivalent experience may substitute for the degree on a 2-for-1 basis.
About the job
Administer annotation workflows and ingest, validate, document, and govern datasets for a secure federal AI data platform.
What you'll do
- Receive, validate, ingest, and ontology-map the corpus; produce corpus readiness and load documentation.
- Configure and operate CVAT annotation workflows, including self-service and white-glove paths, and produce a 50–100-label demonstration corpus.
- Support annotation quality-control dry runs and associate DataCard provenance records with annotated and synthetic outputs.
What they ask for
- CVAT deployment and day-to-day operation; annotated dataset ingest pipelines involving schema mapping, format validation, and ontology alignment.
- Full-motion video annotation concepts and tooling; Python scripting for data wrangling, validation, and format conversion.
- Active Secret clearance with TS/SCI eligibility.
- Bachelor’s degree in Data Science, Computer Science, or a related field preferred; equivalent experience may substitute on a 2-for-1 basis.
Nice to have
- CVAT AI feature configuration and operation; DoD or IC data program experience.
- AI/ML training-data evaluation design, video understanding or FMV annotation experience, or DataCard/data-provenance framework familiarity.
Pay
$55 to $60 p/hour (hourly salary; currency not stated)
Tools
CVAT, Python, Databricks, DataCard
AI focus
Prepares, annotates, and documents governed datasets used to build and evaluate AI systems.
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