Innodata Inc.
Data & Annotation Engineer
Hybrid - Washington D.C
No sponsorship$55k-$60kDetected 1 day ago
TypeScriptPythonDatabricksMachine LearningData EngineeringData ScienceLLMs
About the role
- As the Data/Annotation Engineer, you'll be hands-on with the data itself.
- 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.
Responsibilities
- Receive, validate, ingest, and ontology-map the ODIN mission-aligned corpus from AFS delivery
- Support QA/Evaluation Lead on QC execution and corpus annotation dry-runs
- Evaluation design for AI/ML training data: IAA methodology, drift detection, model performance measurement
Requirements
- 5+ years total professional experience, 3+ years in data engineering or annotation operations
- CVAT - deployment and day-to-day operation required
- Candidates must be genuinely comfortable operating CVAT at production quality against a mission dataset under a milestone deadline
- Bachelor's degree in Data Science, Computer Science, or related field preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
- CVAT - deployment and day-to-day operation required; this is not a nice-to-have
- 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
Nice to have
- Master's degree preferred.
- Equivalent experience may substitute for degree on a 2-for-1 basis
- CVAT annotation platform - AI feature configuration and operation
- Bachelor's degree in Data Science, Computer Science, or related field preferred.
Skills
- Video understanding or FMV annotation experience
- DataCard or ML data provenance framework familiarity
Compensation
- The expected hourly salary range for this position is $55 to $60 p/hour, based on experience, skills, and qualifications.
Benefits
- Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required; Master's degree preferred.
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