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- Tasks: Evaluate search results and improve e-commerce experiences through data annotation.
- Company: Join a forward-thinking team dedicated to enhancing AI communication.
- Benefits: Flexible freelance role with competitive pay and the chance to work remotely.
- Other info: Short-term project with potential for future opportunities.
- Why this job: Make a real impact on AI technology while honing your analytical skills.
- Qualifications: Strong attention to detail and basic understanding of online shopping required.
The predicted salary is between 8 - 8 £ per hour.
We are looking for detail-oriented Search & Data Labeling Raters to support an AI data annotation project focused on improving e-commerce search experiences. In this role, you will evaluate the relevance of search results by analyzing customer queries and matching them with appropriate products. Your work will directly contribute to enhancing search quality and overall user experience.
Key Responsibilities:
- Analyze and understand the intent behind customer search queries
- Identify product types (PT) and relevant attributes (e.g., brand, size, color) within queries
- Evaluate the relevance between search queries and product listings using defined guidelines (ESCI framework)
- Determine product availability and validate product links
- Provide accurate, consistent, and high-quality annotations
- Follow project guidelines and meet productivity and quality benchmarks
Project Details:
- Start Date: ASAP
- Duration: 4 weeks
- Task Type: AI Data Annotation
- Job Type: Freelance contract
- Pay Rate: $4 USD/hour
- Location: United Kingdom
Requirements:
- Strong analytical and comprehension skills
- Ability to understand e-commerce search behavior
- High attention to detail and accuracy
- Basic understanding of online shopping platforms
- Proficiency in the required language
- Ability to follow detailed guidelines and work independently
Join our team and help shape the future of AI communication!
English (United Kingdom) Search & Data Labelling Rater - Project Andromeda Titawin in London employer: Welo Global
Contact Detail:
Welo Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land English (United Kingdom) Search & Data Labelling Rater - Project Andromeda Titawin in London
✨Tip Number 1
Network like a pro! Reach out to friends, family, or even former colleagues who might have connections in the e-commerce or AI sectors. A personal recommendation can make all the difference when you're trying to land that gig.
✨Tip Number 2
Prepare for interviews by practising common questions related to data annotation and search relevance. We suggest you come up with examples from your past experiences that showcase your analytical skills and attention to detail.
✨Tip Number 3
Don’t forget to tailor your approach! When applying through our website, highlight your understanding of e-commerce search behaviour and how you can contribute to improving search quality. Make it clear why you’re the perfect fit for this role.
✨Tip Number 4
Follow up after your application! A quick message expressing your enthusiasm for the role can keep you on their radar. It shows initiative and reinforces your interest in being part of the team.
We think you need these skills to ace English (United Kingdom) Search & Data Labelling Rater - Project Andromeda Titawin in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight your analytical skills and attention to detail. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant examples!
Follow the Guidelines: Pay close attention to the application guidelines we provide. Following these will show us that you can adhere to instructions, which is super important for this role. It’s all about demonstrating that you can follow the ESCI framework!
Showcase Your E-commerce Knowledge: Since this role involves understanding e-commerce search behaviour, it’s a good idea to mention any relevant experience you have in online shopping or data analysis. This will help us see that you’re a great fit for the project!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Welo Global
✨Know Your Stuff
Before the interview, make sure you understand the role inside out. Familiarise yourself with e-commerce search behaviour and the importance of data annotation. This will help you answer questions confidently and show that you're genuinely interested in the position.
✨Practice Makes Perfect
Try to simulate the interview environment by practicing common interview questions related to data labelling and search relevance. You can even ask a friend to quiz you on your analytical skills or how you would evaluate search queries against product listings.
✨Show Off Your Attention to Detail
Since this role requires high attention to detail, be prepared to discuss examples from your past experiences where you demonstrated this skill. Highlight any relevant projects or tasks where accuracy was crucial, and explain how you ensured quality in your work.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the project and the team. This shows your enthusiasm and helps you gauge if the company culture aligns with your values. Questions about the ESCI framework or how success is measured in the role can be great conversation starters.