About the Company
Ocado Technology is the innovative engineering division behind Ocado Group, a world leader in online grocery technology. We are building the next generation of highly automated warehouses, advanced robotics, and AI-driven supply chain solutions that are transforming the retail landscape. Our mission is to re-invent the way the world shops, and our teams are at the forefront of developing groundbreaking technologies that make this a reality.
Job Description
Join our cutting-edge Supply Chain AI team as a Logistics Fleet Annotator. In this crucial role, you will be responsible for meticulously annotating various forms of data related to our logistics fleet operations. Your work will directly contribute to the training and improvement of our machine learning models, which drive efficiency and intelligence across our vast logistics network. This position requires exceptional attention to detail, a keen understanding of logistics concepts, and a commitment to data quality.
Key Responsibilities
- Perform precise annotation of diverse datasets, including images, video footage, and sensor data, depicting logistics fleet activities.
- Categorize and label objects, events, and scenarios relevant to vehicle movement, route planning, and delivery processes.
- Ensure high levels of accuracy and consistency in all annotated data, adhering to strict guidelines and quality standards.
- Collaborate closely with AI/ML engineers and data scientists to understand model requirements and provide valuable feedback on annotation tools and guidelines.
- Participate in regular quality assurance checks and data validation processes.
- Identify and document edge cases or ambiguities in data for review and discussion with the wider team.
- Contribute to the continuous improvement of annotation processes and tools.
Required Skills
- Exceptional attention to detail and a methodical approach to tasks.
- Strong ability to understand and interpret complex visual and contextual information.
- Proficiency in using data annotation tools (e.g., image/video labeling software).
- Basic understanding of logistics, supply chain, or fleet operations.
- Excellent communication skills and ability to collaborate effectively within a team.
- Proficiency in English, both written and verbal.
Preferred Qualifications
- Previous experience in data annotation, particularly for computer vision or machine learning projects.
- Familiarity with agile development methodologies.
- Experience with GIS or mapping software.
- An interest in artificial intelligence, machine learning, and their applications in real-world problems.
- Experience working in a fast-paced, technology-driven environment.
Perks & Benefits
- Generous pension scheme with employer contributions.
- Private medical insurance and dental plans.
- 25 days annual leave plus bank holidays, with options to buy more.
- Enhanced parental leave policies.
- Subsidised gym membership and wellness programs.
- Learning and development opportunities, including internal courses and external certifications.
- Employee discount on Ocado.com groceries.
- Modern office environment with collaborative workspaces and social events.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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