Remote: E-commerce Product & Search Relevancy Expert

eBSI Export Academy; United States; Remoto; USD 60.000 - 90.000; Part-time

Descrizione del lavoro

TELUS Digital AI Community is seeking an E-commerce Product & Search Relevancy Expert to teach an AI how to suggest matching products to online shoppers. You will evaluate massive catalogs, decide which items belong together, and ensure visual and functional compatibility.

Responsibilities include creating product pairs, reviewing metadata for coherent recommendations, and maintaining data integrity while researching new domains like cycling or tech gear.

Competenze

• Experience in search relevancy, product categorization, or e-commerce content moderation/annotation.
• Bachelor's degree in any field required.
• Strong analytical ability to learn and differentiate product categories quickly.
• High attention to visual aesthetics and spotting mismatches in style or price positioning.
• Experience navigating high-volume SKU catalogs with quality assurance.

Mansioni

• Create pairs by matching products based on color, pattern and style for visual consistency.
• Check compatibility to ensure items work for the same use case (e.g., gear for specific sub-disciplines).
• Review metadata such as gender, price segment, and seasonality for logical recommendations.
• Maintain a clean, structured list of matches following brand and category guidelines.
• Conduct category research to learn nuances of new product domains.

Conoscenze

Experience in search relevancy

Product categorization

Analytical skills

Attention to detail

Large datasets

English proficiency B1

Formazione

Bachelor's degree

Descrizione del lavoro

TELUS Digital AI Community is seeking an E-commerce Product & Search Relevancy Expert to teach an AI how to suggest matching products to online shoppers. You will evaluate massive catalogs, decide which items belong together, and ensure visual and functional compatibility.

Responsibilities include creating product pairs, reviewing metadata for coherent recommendations, and maintaining data integrity while researching new domains like cycling or tech gear.