Train and Deploy Industry-Leading Generative and Traditional AI
Ridgefield Park, New Jersey
(NASDAQ: INOD) Innodata is a global data engineering company. We believe that data and AI are inextricably linked. That’s why we’re on a mission to help the world’s leading technology companies and enterprises drive Generative and Traditional AI innovation. We provide a range of transferable solutions, platforms, and services for AI builders and adopters. In every relationship, we honor our 35+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
On-site · Canada
The role involves designing and validating high-quality datasets used to train and evaluate financial-domain LLMs and multimodal AI agents. You will translate complex financial goals into measurable specifications and build statistical tooling to ensure model reliability and regulatory compliance.
On-site · Canada
The role involves designing and validating high-quality datasets and evaluation frameworks for health-domain AI models. You will translate clinical goals into measurable specifications and ensure the clinical validity and statistical rigor of AI outputs.
Remote · Canada
The role involves designing and validating high-quality datasets and evaluation frameworks for healthcare-specific generative AI models. You will translate clinical goals into measurable specifications and ensure the clinical validity and safety of AI outputs across multimodal health data.
Remote · Canada
Design and validate high-quality datasets for training and evaluating financial-domain LLMs and AI agents. Translate complex financial goals into concrete dataset specifications, rubrics, and statistical evidence to support model risk management.
On-site · Canada
Design and implement scalable data pipelines, warehouses, and lakes on GCP/AWS to support supply chain and real estate operations. Build and optimize ETL processes and BI solutions to enable advanced AI/ML use cases like RAG and agentic workflows.
Remote · Canada
Design and build enterprise data warehouses, lakes, and pipelines on GCP/AWS to support supply chain and real estate operations. Develop ETL infrastructure and data solutions to enable advanced AI/ML use cases like RAG and agentic AI.