IT

iMerit Technology

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5,001+ people

About

iMerit is a leading AI data solutions company providing high-quality data across computer vision, natural language processing, and content services that power machine learning and artificial intelligence applications for large enterprises. iMerit provides end-to-end data labeling technologies and solutions to Fortune 500 companies in a wide array of industries including agricultural AI, autonomous vehicles, commerce, geospatial, government, financial services, medical AI, and technology. iMerit is headquartered in the United States, with large CV and NLP teams in India, US, Bhutan and Europe. iMerit investors are Omidyar Network, Dell.org, Khosla Ventures, and British International Investment. For more information, visit imerit.net.

Open positions

French Language Expert

Remote · ["Canada"]

iMerit seeks detail-oriented and skilled Language Experts to join our global remote teams. Analysts will perform annotations across various modalities—including text, image, and video—to deliver high-quality datasets essential for training and refining cutting- edge Generative AI models. Role Responsibilities: Annotate high-quality training data across text, image, and video modalities, adhering strictly to provided project guidelines. Generate accurate data annotation as per project requirements. Apply critical thinking and logical decision-making when handling ambiguous data scenarios. Pro…

French Language Specialist

Remote · ["Canada"]

iMerit seeks detail-oriented and skilled Language Experts to join our global remote teams. Analysts will perform annotations across various modalities—including text, image, and video—to deliver high-quality datasets essential for training and refining cutting- edge Generative AI models. Role Responsibilities: Annotate high-quality training data across text, image, and video modalities, adhering strictly to provided project guidelines. Generate accurate data annotation as per project requirements. Apply critical thinking and logical decision-making when handling ambiguous data scenarios. Pro…