Nasdaq:

INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. 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 for the program's largest payment milestone ($131,250). Candidates must be genuinely comfortable operating CVAT at production quality against a mission dataset under a milestone deadline Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission's guide at https://consumer.ftc.gov/articles/job-scams. 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