Data Annotator

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

About this Role

Produce high-fidelity annotations on imagery and video used to train and evaluate machine learning models. Annotators work to a defined ontology and labeling specification, meet project quality and throughput targets, and operate inside the designated annotation environment for each program. Assignments rotate across projects, modalities, and customers as program needs change.

### Key Responsibilities:

• Label static imagery and video across a range of sensor types, image qualities, and scene conditions, including both real-world and synthetic data.
• Produce 2D bounding boxes, instance and semantic segmentation masks, and keypoint annotations to project specification.
• Produce oriented and rotated bounding boxes where scene geometry requires them.
• Produce 3D and 6 degrees-of-freedom pose, orientation, and scale annotations on projects that require them.
• Produce multi-object tracking annotations, maintaining consistent object identity across full sequences — through occlusion, frame exit and re-entry, scale change, and camera or platform motion.
• Review, correct, and accept or reject model-assisted and pre-labeled output; report systematic pre-label failure modes rather than silently correcting the same error frame by frame.
• Work strictly to the project ontology and guidelines; escalate ambiguous or out-of-ontology obje