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Working as part of our Catalogue Operations team, your role will be to generate labelled data that will be used to power Deliveroo’s Machine Learning and Generative AI models. This will cover a wide variety of types of labelling but will include assigning items to our standardised Taxonomy (eg allocating a can of Coca Cola to our “cola” category), defining the part of meal for an item (eg allocating a cake to our “desserts” category), or labelling the brand of an item (eg Red Bull for an item “Red Bull 250ml”. You’ll be a key part of the team and will work with product, machine Learning, and our commercial teams to improve the accuracy of our existing machine learning models and help to develop new models. We’re working at the cutting edge, and these models are being used to power a vast range of use cases across Deliveroo, helping to power improved experiences for our customers, restaurant partners, grocery and retail partners, riders, and FMCG partners like Coca Cola.
Job Responsibility:
Generate labelled data that will be used to power Deliveroo’s Machine Learning and Generative AI models
Cover a wide variety of types of labelling including assigning items to our standardised Taxonomy, defining the part of meal for an item, or labelling the brand of an item
Work with product, machine Learning, and our commercial teams to improve the accuracy of our existing machine learning models and help to develop new models
Requirements:
Experience with spreadsheet software like Google Sheets
Strong attention to detail and commitment to maintaining high standards
Basic knowledge of food and retail items sold in Deliveroo markets
Ability to understand patterns in data and recognise outliers
Fluent in English and comfortable working with item information in other languages from Deliveroo’s markets (leveraging translation tools)
Nice to have:
Prior experience with data labelling, particularly for item classification
Experience with Looker
Basic understanding of machine learning and/or generative AI
Experience in quality control or assurance processes (QC/ QA)
What we offer:
Medical coverage for you and your family
24/7 access to our Employee Assistance Program for mental wellness
Free Headspace subscription for mindfulness and meditation
Subsidised gym reimbursement
Term life and accident insurance
Annual financial wellbeing consultation through EAP
Comprehensive health checks through Plum
Generous annual leave allowances
Monthly commuting allowance paid with your salary
Childcare support
Learning & Development: Access to RooLearn (learning platform) and mentoring support
Employee Referral Bonus
Food allowance during on-call shifts
Monthly in-office team lunch
Snacks and refreshments: Available at the office
On-call meal support: ₹500/day for meals during approved on-call periods
Some roles may be eligible for share awards
Hybrid working and support for working from abroad
Earned Leave: Generous annual allowance, with extra days depending on your location
Casual Leave: Time set aside for personal matters or unexpected events
Sick Leave: Dedicated days for when you’re unwell, with additional support for extended illness
Public Holidays: A set of national holidays each year, plus the option to take alternative days that matter most to you
Volunteering: One paid day off annually to give back to a cause you care about
Company Breather: Extra paid time off in December to recharge and reset
Bereavement Leave: Compassionate leave tailored to support you through personal loss
Wedding Leave: Paid time off to celebrate your special day