Data Specialist

DigitalGenius; United Kingdom; Remote; GBP 25,000 - 35,000; Full time

Job summary

Join a pioneering AI company as an AI Data Specialist, where you'll manage and curate e-commerce customer service data to enhance AI models. This role goes beyond data labeling; you'll ensure data quality, identify patterns, and collaborate with talented teams to drive innovation. Enjoy a fully remote environment, competitive salary, and unique benefits like a WeWork membership and a monthly fitness stipend. If you're detail-oriented and passionate about AI and e-commerce, this is your chance to grow your skills and make a meaningful impact in a forward-thinking company.

Benefits

Competitive Salary

WeWork membership for remote employees

Annual Company Week Off

Birthday Off

Monthly fitness stipend

Equipment allowance

Freedom to experiment with ideas

Skill development environment

Qualifications

• Ability to accurately label and categorize complex data sets.
• Familiarity with e-commerce customer service processes.

Responsibilities

• Review and label e-commerce customer service data with high accuracy.
• Collaborate with AI and product teams to optimize data labelling.

Skills

Attention to Detail

Understanding of E-commerce Workflows

Tech Savvy

Communication Skills

Good Time Management

Education

Background in E-commerce Customer Service

Tools

Data Labelling Tools

Spreadsheets

Collaboration Software

Job description

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

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
• Freedom to experiment with your own ideas
• Environment to develop your skills without bureaucracy or red-tape

Seniority level

Entry level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting