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RWS invites applicants to join as a remote Search Quality Evaluator in Mexico. The part-time role focuses on evaluating and providing feedback on text, audio, images, and videos to improve AI data used by leading search engines and platforms.
No prior experience is required, and candidates must meet basic requirements such as residing in Mexico, having a suitable device and internet, and committing to 5–20 hours per week. Pay is up to $6 per hour.
Are you a web-savvy, search expert with a talent for finding things online by using just a few words? Do you want to influence the future of global AI search? If so, we want you on board!
Working on behalf of RWS, you will test and evaluate how our clients’ search engine responds to everyday searches from everyday people.
Using your search expertise, you will work through a variety of assignments playing a crucial part in enhancing AI data which will be used to improve the online search engine experience of our clients’ users.
Language: English and Spanish (Mexico) proficiency.
Location: Mexico (Work from Home).
Pay: Up to 6 USD/hour.
Who Should Apply: Ideal for freelancers, students, stay-at-home parents, or anyone seeking flexible remote work to improve AI models. No previous experience is required.
Role Description: Join RWS Group as an evaluator to enhance search engine results. Provide feedback on text, audio, images, and videos to refine AI data used by major search engines, social media sites, streaming platforms and more.
RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.