Innodata Inc.
Innodata Inc. builds data engineering and annotation services and platforms that supply training data, evaluation, and pipelines for enterprises and technology companies building AI models, including generative and robotics applications. Its business model centers on B2B services, managed data operations, and tools for data collection, cleansing, and labeling across text, image, video, and sensor data. Founded in 1988 and headquartered in Ridgefield Park, New Jersey, it is a public company trading on NASDAQ (INOD).
Open Positions at Innodata Inc.
6 open positions
Build and operate an advanced data platform end to end, spanning Rust backend services, TypeScript/React interfaces, data pipelines, and customer deployments. This senior role combines hands-on full-stack development with customer collaboration in cloud, on-premises, and classified environments.
Build and operate a full-stack data platform for enterprise and public-sector customers while helping deploy it in cloud, on-premises, and classified environments. This customer-facing engineering role combines hands-on product development with customer conversations, integrations, and occasional travel.
Design and optimize prompt-driven workflows that use large language models to automate data annotation, labeling, and localization. You’ll collaborate across data science, linguistics, product, operations, and client teams to improve AI accuracy, reliability, and scalability.
Lead the architecture of a secure federal data services platform, including its DataCard governance framework, storefront, orchestration, and write-back capabilities. This role is the program’s primary technical decision-maker below the Delivery Owner.
AI Solutions Engineer integrating AI-assisted annotation, synthetic data, computer vision, and ML workflows into a governed federal data platform. The role focuses on Python-based AI/ML configuration and integration above the infrastructure layer, with strong emphasis on model quality and auditability.
Build the backend and integration layer for a secure federal data services platform, connecting storefront services, Databricks, Duality, ServiceNow, and governance workflows. You’ll own reliable asynchronous APIs, write-back paths, and retry handling during an intensive 20-week delivery phase.