Quality Assurance Rater

About the Role

This is a flexible, remote opportunity for Hindi speakers in India to contribute to high-quality validation data that influences product development and quality assurance for leading search engines and AI technologies. You will apply your analytical and research skills to evaluate search results and AI-generated content while contributing to the development of high-quality AI systems.

Key Responsibilities

• Evaluate search results and AI-generated content for quality, relevance, accuracy, and usefulness.
• Conduct online research to verify information and support rating decisions.
• Apply rating guidelines consistently while maintaining quality standards.
• Document edge cases, guideline gaps, and task-related issues.
• Provide clear written feedback and rationale for ratings when required.
• Participate in training, calibration sessions, and ongoing quality reviews.
• Meet productivity expectations while maintaining high-quality work.

Requirements & Tech Stack

• Working as a freelancer with excellent communication skills in Hindi & English.
• Resident in India for the last 5 consecutive years.
• Familiarity with current and historical business, media, sports, news, social media, and cultural affairs.
• Strong analytical thinking, attention to detail, and research skills.
• Experience using web browsers, search engines, and online research tools.
• Daily access to a reliable broadband internet connection, smartphone, and personal computer.
• Demonstrated research capability through professional background OR strong track record of self-directed research and information verification.
• Ability to work independently and follow detailed guidelines consistently.
• High level of creativity and logical skills with the ability to achieve consistent targets.

Qualifications

• Experience in quality assurance, content moderation, data annotation, research, journalism, editing, or information verification.
• Familiarity with AI technologies, search engines, and digital content ecosystems.
• Subject matter expertise in areas such as Popular Culture, Social Sciences, STEM, Medicine, Law, Finance, or Engineering.
• Additional language skills may be beneficial depending on project requirements.