Innodata
AI Solutions Engineer
Hybrid - Washington D.C +1 · Remote · Full-time · Posted Jul 9, 2026
- Location
- Hybrid - Washington D.C
ISL - Remote - US - Experience
- 6+ years total professional experience, including 4+ years hands-on AI/ML engineering.
- Education
- Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field; equivalent experience may substitute on a 2-for-1 basis. Master's degree preferred.
About the job
Integrate and configure AI capabilities, synthetic data validation, and reproducible ML workflows for a governed federal data platform.
What you'll do
- Configure and validate AI-assisted features across platform components, including annotation and DataCard services.
- Integrate SAM 2 and frontier model APIs for video annotation and synthetic data quality validation.
- Implement authentication and data-layer policies, and validate end-to-end AI integration and write-back.
What they ask for
- SAM 2 or equivalent foundation-model integration for computer vision or video annotation; frontier model API integration and quality-validation pipelines.
- Strong, production-grade Python skills and experience configuring AI-assistive features in annotation platforms or ML data tooling.
- Active Secret clearance with TS/SCI eligibility.
- Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field; equivalent experience may substitute on a 2-for-1 basis.
Nice to have
- Master's degree.
- CVAT experience, DoD or IC data program experience, AI/ML training-data evaluation, video understanding/FM V annotation, or DataCard/provenance framework familiarity.
Pay
$75 to $80 per hour (hourly salary)
Tools
SAM 2, OpenAI, Anthropic, Python, CVAT, ICAM, OIDC, NiFi
AI focus
Integrates synthetic data generation and validation, AI-assisted annotation, video segmentation and tracking, and AI/ML quality evaluation in a federal data environment.
Model-written summary · the original posting is authoritative