We are looking for qualified raters to support a project focused on evaluating personalized search and location recommendations. This role involves rating the relevance and usefulness of suggested places based on personalized results and defined project guidelines.𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼:✅Notices when recommendations actually make sense🧠Thinks critically about usefulness, intent, and context🖥️Cares about accuracy in digital experiencesThis project is built for you. Contract type: Freelance
Language:Tamil (India)
Estimated volume: 8 - 10 hours
Start date: The project runs on a weekly basis.
What you will do:
Review search queries with results personalized based on your activity history
Evaluate suggested places (e.g., restaurants or locations) related to places you’ve previously visited
Rate whether the suggested places are relevant and useful
Follow project guidelines and complete tasks accurately
Requirements:
To be located and have the right to work in India.
An existing, actively used Gmail account with prior usage history on Google Maps.
Participation is limited to maximum three project rounds. Please note that the task request will be dynamic and we will be providing you with a heads-up as soon as possible once there is a project round available for you.
Please note:
This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation.
A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported.
Welo Global, through its Welo Data brand, is a multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. The company delivers human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts at every stage from training through deployment. With a global network of 500,000+ vetted experts spanning 300+ languages and locales, Welo Data enables high-quality multilingual data creation and structured model evaluation across modern AI applications including large language models, voice and speech systems, agentic workflows, and robotics. The company addresses critical AI development challenges including safety, bias, inclusivity, and cross-lingual reliability through specialized program and quality expertise, supported by NIMO™, their proprietary identity and fraud-prevention framework.
