Data & Annotation Engineer
About The Position
Innodata is a global data engineering company focused on enabling the responsible advancement of artificial intelligence. Our mission is to provide the data, evaluation frameworks, and human expertise needed to build trustworthy AI systems at scale. We offer a range of solutions, platforms, and services for Generative AI and AI builders and adopters, leveraging our 36+ year legacy of delivering high-quality data and outstanding customer outcomes. This role is part of Innodata's Federal Practice, which builds the trusted data layer for critical infrastructure Trust & Safety work. In partnership with a leading systems integrator, we are delivering a modern, governed data services platform within a secure federal (IL4) environment. Over an intensive 20-week phase, the team will establish a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. As the Data/Annotation Engineer, you will be directly involved with the data, administering the annotation toolchain, managing annotation workflows across the corpus, and producing per-dataset documentation for our governance framework. You will collaborate with the AI Solutions Engineer to ensure data used in our models is accurate, well-labeled, and fully traceable. This position is ideal for a detail-oriented individual who understands that high-quality AI relies on disciplined, well-governed data.
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
- 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 Haves
- 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
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
Benefits
- The expected hourly salary range for this position is $55 to $60 p/hour, based on experience, skills, and qualifications.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
