Security-Cleared Data & Annotation Engineer (CVAT)

Innodata; Tysons (VA); On-site; USD 76,000 - 83,000; Full time

Job summary

Innodata, a global data engineering company, seeks a Data/Annotation Engineer for its Federal Practice. You'll oversee the annotation toolchain, manage annotation workflows across the corpus, and document governance feeds.

Work with the AI Solutions Engineer to ensure data fed into models is accurate, labeled, and traceable. This role rewards meticulous data governance and hands-on CVAT operations, with phase-based production delivering 50–100 labeled samples and direct support to QA/Evaluation

Qualifications

• Bachelor's in Data Science, CS, or related field; equivalent experience may substitute 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
• FMV annotation concepts and tooling
• Python scripting for data wrangling, validation, and format conversion
• Active Secret clearance with TS/SCI eligibility

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

Skills

Python scripting

FMV annotation concepts

Annotation operations

Data wrangling

Data governance

Education

Bachelor's degree in Data Science, Computer Science, or related field

Master's degree in Computer Science, Machine Learning, Data Science, or related field

Tools

CVAT

Job description

Innodata, a global data engineering company, seeks a Data/Annotation Engineer for its Federal Practice. You'll oversee the annotation toolchain, manage annotation workflows across the corpus, and document governance feeds.

Work with the AI Solutions Engineer to ensure data fed into models is accurate, labeled, and traceable. This role rewards meticulous data governance and hands-on CVAT operations, with phase-based production delivering 50–100 labeled samples and direct support to QA/Evaluation