Innodata
Global data engineering company founded in 1988, providing AI training data, annotation, and evaluation services with 4,000+ experts across 40+ languages.
What is Innodata?
Innodata is a global data engineering company founded in 1988, headquartered in Ridgefield Park, New Jersey. The company helps leading technology companies and enterprises integrate AI by providing essential data, evaluation frameworks, and human expertise. With over 4,000 in-house subject matter experts, Innodata delivers data collection, annotation, and labeling services across 40+ languages and multiple data types — including text, images, audio, video, and complex documents. Services span computer vision, sentiment analysis, entity linking, text categorization, syntactic parsing, named entity recognition, and LLM training data creation. The company maintains offices across Europe, Israel, India, the Philippines, Sri Lanka, and China. Innodata also offers proprietary AI-enabled industry platforms, a web-based Annotation Platform with customizable workbenches and flexible taxonomies, and managed services for digital transformation. Both remote and on-site roles are available across various skill levels and disciplines.
Qualifications
For Data Annotator/AI Trainer roles: strong English communication, excellent attention to detail, ability to follow complex annotation guidelines uniformly, comfort with diverse or sensitive content, and basic technical literacy for annotation tools. A Bachelor's degree is preferred (required for some roles), and familiarity with AI/ML concepts is a plus. Experience with annotation tools like Labelbox, CVAT, Prodigy, or SageMaker Ground Truth is valued. Candidates must pass a General English test and Versant spoken/written English assessment. For Generative AI Associate roles: Bachelor's or higher (Master's/PhD preferred), C1/C2 English proficiency. For AI/ML Engineering roles: Bachelor's/Master's/PhD in CS, ML, or related field, 2–5+ years experience, Python proficiency, and hands-on experience with PyTorch/JAX/TensorFlow and LLM fine-tuning workflows.
Company Information
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