Data Specialist

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Requirements:

• Attention to detail: Ability to accurately label and categorize complex data sets.
• Understanding of e-commerce workflows: Familiarity with how e-commerce businesses handle customer service.
• Tech savvy: Comfortable working with data labelling tools, spreadsheets, and collaboration software.
• Communication skills: Strong communication to provide feedback and collaborate effectively within the team.
• Good time management: Ability to prioritize tasks and meet deadlines in a fast-paced environment.
• Background in e-commerce customer service (preferred): Previous experience in customer service in e-commerce is highly desirable.

Responsibilities:

• Review and label e-commerce customer service conversations and policies with high accuracy.
• Collaborate with the AI and product teams to refine and optimize data labelling guidelines.
• Take ownership of data quality to improve AI model training.
• Work in collaboration with AI engineers to identify trends and nuances in customer service data.
• Manage the quality control process for labelled data using various modern tools.
• Explore technical areas such as natural language processing, machine learning fundamentals, and data analytics.
• Take initiative in solving data-related challenges and suggest improvements.