Posted Mar 9, 2026
About the Job:
The Associate will be part of the Service Delivery team in India, reporting to a Team Leader. The role involves reviewing and classifying industry product data to support accurate product search and discovery on client platforms. The Associate will follow defined guidelines, meet quality and productivity targets, work closely with the team, and adapt to changing processes and tools in a fast-paced environment. Key Responsibilities:
Review, tag, and classify retail product data (including product titles, descriptions, images, and attributes) to improve search relevance and product discoverability. - Apply standardized guidelines and classification rules consistently across tasks. - Identify data discrepancies, missing attributes, or ambiguous cases and escalate them to the team lead when necessary. - Maintain high standards of data accuracy, completeness, and consistency while meeting defined quality thresholds and turnaround times. - Perform quality checks by reviewing, correcting, or reprocessing data to ensure compliance with program requirements. - Remove duplicate or incorrect entries to maintain a clean and reliable product catalog. - Collaborate with team members and contribute to shared goals and continuous improvement initiatives. - Perform additional related tasks as assigned to support product search and classification programs. - Demonstrate flexibility by adapting to changes in guidelines, tools, or workflows, and transitioning to new processes or task types as required by business needs. Minimum Qualifications:
Bachelor’s degree in any discipline. - Strong attention to detail with the ability to follow structured guidelines and taxonomies. - Basic understanding of e-commerce or retail product catalogs. - Ability to process repetitive tasks accurately while meeting quality and productivity targets. - Proficiency with computers and common tools (spreadsheets, web-based platforms). - Good written communication skills in English. - Ability to work independently as well as collaboratively in a team environment. Preferred Qualifications:
Prior experience in e-commerce, retail operations, data annotation, search relevance, or product catalog management. - Familiarity with product taxonomies, ontologies, or classification systems. - Experience working on search relevance, query-product matching, or product attribute enrichment tasks. - Comfort working with large datasets and rule-based decision frameworks. - Exposure to quality assurance processes or audit-based workflows. - Ability to quickly learn new tools, guidelines, and domain-specific concepts. - Be inquisitive and eager to learn in a dynamic and fast-paced environment
Have strong communication skills, both verbal and written
Take pride in everything they do and be motivated to go above and beyond what is expected
Possess excellent web research skills
Demonstrate keen attention to detail
Have the ability to work with a sense of urgency
Have good time-management skills
Have the ability to communicate effectively with people from diverse backgrounds and cultures
Be a strong team player. About Sama
Sama provides high-quality training data that powers AI technology for Fortune 2000 companies such as Google, Walmart, Ford, Microsoft, and Marriott. We’re experts in data annotation, supporting text, 2D, 3D image, video, and sensor data for machine learning algorithms and generative AI models. Sama offers the highest quality SLAs in the industry, along with cutting-edge ML-assisted annotation tools, QA processes, and security and compliance standards. Founded in 2008 on the belief that “talent is equally distributed, but opportunity is not”, Sama is driven by the mission to expand opportunities for those who are underprivileged. As a certified B-Corp, Sama has provided worker training programs to increase economic opportunity for more than 15,000 people from underserved communities. By connecting our customers with amazing talent in East Africa, we've impacted more than 69,000 workers and their dependents. Today, our vision is to provide data scientists, ML engineers, and data operations teams with an indispensable, integrated platform for AI data preparation, labeling, and collection. For more information, visit www.sama.com.
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