Offer summary

Qualifications:

Strong background in fashion, home decor, or beauty industries., Experience in data analysis and classification tasks., Excellent communication skills for client interaction., Ability to coach and mentor team members effectively..

Key responsabilities:

Review and report on the work of SME Labeling Specialists.

Ensure accurate classification and tagging of shopping products.

Collaborate directly with clients as an extension of their team.

Contribute to enhancing product discovery and personalization for users.

Job description

Who we are:

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.

Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years.

About the Role:

Innodata is building a specialized team of shopping and fashion specialists to support our clients with data analysis tasks in fashion, home decor, and beauty. As a domain expert and enthusiast, you’ll put your expertise to work reviewing, coaching, and reporting on the work of a team of SME Labeling Specialists. Your work in helping to ensure accurate classification and tagging of shopping products will help improve product discovery, filtering, and personalization for users. You’ll work directly with the client as an extension of their team. Your efforts will also contribute to a more diverse and inclusive experience for shoppers!

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