Remote Data Specialist

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DigitalGenius

πŸ“Remote - United Kingdom

Job highlights

Summary

Join our team as an AI Data Specialist and take ownership of managing and curating e-commerce customer service data to improve our AI models. You will review and label conversations, collaborate with teams, and contribute to the overall success of our AI-powered solutions.

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, including order processing, returns, and FAQs
  • 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

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 that can be leveraged to fine-tune and improve our AI models
  • Manage the quality control process for labelled data, using a variety of modern tools and platforms for data processing and management, from advanced spreadsheets to AI-driven data labeling tools and project management systems
  • Explore technical areas such as natural language processing (NLP), machine learning (ML) fundamentals, and data analytics
  • Take initiative in solving data-related challenges and suggest improvements to data processes

Benefits

  • Competitive Salary
  • WeWork membership for remote employees
  • Annual Company Week Off (in addition to Vacation Policy)
  • Birthday Off (in addition to Vacation Policy)
  • Monthly fitness stipend
  • Equipment allowance

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