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Data Specialist

EXTRA HOLIDAYS - FULLY FLEXIBLE

Remote:

Full Remote

Contract:

Full time

Work from:

United Kingdom

Offer summary

Qualifications:

Attention to detail, Understanding of e-commerce workflows, Tech-savvy with data tools, Strong communication skills, Good time management.

Key responsabilities:

Review and label e-commerce customer service data accurately.
Collaborate with teams to optimize data labeling guidelines.
Ensure data quality for improving AI models.
Identify trends in customer service data with AI engineers.
Manage quality control processes using modern tools.

DigitalGenius Information Technology & Services Startup https://digitalgenius.com/

11 - 50 Employees

See more DigitalGenius offers

Job description

Your missions

DigitalGenius is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest customer service operations in the world as well as high growth companies. We’re a dedicated team of thoughtful and hard working people committed to transforming customer service through the application of artificial intelligence. Our team is fully remote with colleagues based in the UK, US and Europe

Role

We are looking for an AI Data Specialist from the UK or Europe to join our team. In this role, you will take ownership of managing and curating e-commerce customer service data to improve our AI models. The role involves labelling and reviewing e-commerce customer service data, such as customer conversations, policies, and workflows. This is more than just a data labelling position—you will be responsible for ensuring the quality and consistency of the data, identifying patterns, and contributing to the overall success of our AI-powered solutions. You will have the opportunity to grow technically and collaborate with our AI and product teams to develop new skills in artificial intelligence and data operations.

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.

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.
Background in E-commerce Customer Service (Preferred): Previous experience working in or around customer service in e-commerce is highly desirable.