Work Type
Remote
Location
India
Compensation
Up to $5/hour
About this opportunity
Overview
RWS TrainAI is looking for a search engine evaluator to help improve how search systems respond to everyday queries. In this flexible, part-time remote role, you will review and evaluate search results and other digital content to support AI data quality and search experience improvements.
This opportunity is intended for candidates located in India and requires English and Bengali proficiency. The expected schedule is approximately 8 to 20 hours per week, with an average of 15 hours weekly. Compensation is listed at up to $5 per hour. Applicants should be comfortable working independently, maintaining quality standards, and following project requirements carefully.
What You'll Do
- Test and evaluate how search engines respond to common user searches.
- Review and provide feedback on text, audio, images, and videos as part of the evaluation work.
- Help refine AI data used to improve search experiences across digital platforms.
- Work through assignments that require careful judgment, relevance assessment, and online research.
Requirements
- Must currently reside in India.
- English and Bengali proficiency is required.
- Commit to at least 5 hours per week and no more than 20 hours per week.
- Must be 18 years of age or older.
- Strong understanding of popular culture in your local context in India.
- Ability to work from home with a smartphone, personal computer, and reliable internet connection.
- Reliable antivirus software is required.
- Must sign and follow the project NDA.
- Must pass training modules and a client-issued test before starting work.
- Only one Search Quality Rater is allowed per household.
Additional Details
- Flexible home-based work with a part-time schedule.
- Payments are made via PayPal or bank account.
- The role is presented as a potential side hustle with access to additional opportunities through the TrainAI Community.
- Applicants are asked to choose whether they are applying as a freelancer/private individual during the application process.
