Skip to main content

Innodata Inc.

AI Solutions Engineer

Hybrid - Washington D.CmidAdded today

About this role

Innodata seeks an AI Solutions Engineer to configure and integrate AI capabilities into a federal data platform serving critical infrastructure. You'll implement foundation model APIs, video annotation tools like SAM 2, and AI-assisted annotation features within a secure, governed environment over a 20-week engagement.

What you'll do

  • Integrate and tune SAM 2 for video object tracking, segmentation, and confidence threshold configuration
  • Implement frontier model API integration for synthetic data validation, prompt engineering, and quality scoring
  • Configure AI-assisted annotation features including confidence scoring and model-assisted label suggestions
  • Set up annotation toolchain and orchestrate reproducible ML workflows for the team
  • Implement ICAM/OIDC authentication with AFS identity framework
  • Validate end-to-end AI feature integration across the data storefront, annotation platform, and DataCard write-back

What they're looking for

  • Python (production-grade)
  • Foundation model APIs (OpenAI, Anthropic)
  • SAM 2 or computer vision model integration
  • AI annotation platform configuration
  • ML data pipeline development
  • Video annotation and FMV codec understanding
  • Federal data governance (CUI, distribution statements)
  • Model evaluation and quality validation

Benefits

  • Hybrid work in Washington D.C.
  • $75–$80/hour based on experience
  • Work with cutting-edge AI/ML infrastructure
  • Federal security clearance environment
  • 20-week intensive, high-impact program
Apply on the employer's site →

Opens the official application on the employer’s site. No login required.

Innodata Inc.

Innodata builds AI data infrastructure and solutions, specializing in LLM post-training pipelines, physical AI datasets for robotics, and audio/speech datasets for foundation models. The company is hiring AI/ML engineers, robotics solutions specialists, research engineers, and audio engineers to design data systems, evaluation frameworks, and quality assurance processes that enable cutting-edge AI model development.

View all jobs at Innodata Inc.

Likely interview questions

  • Walk us through your experience integrating foundation models like GPT-4 or Claude into production pipelines—how did you handle async job management and quality validation?
  • Describe a time you configured SAM 2 or a similar computer vision model for annotation; what were the main tuning challenges?
Unlock all 7 questions free — and practice them live →