Search Engine Evaluator Arabic

About the Role

RWS is seeking a Search Engine Evaluator Arabic to join their team in Jeddah, Makkah, Saudi Arabia. This part-time position involves evaluating search engine responses to everyday queries, contributing to the enhancement of AI data used to improve online search experiences. The role offers a flexible schedule, with an average commitment of 15 hours per week, and compensation up to 11 USD per hour.

Responsibilities

• Test and evaluate search engine responses to various queries.
• Provide feedback on text, audio, images, and videos to refine AI data.
• Contribute to improving the online search engine experience for users.
• Work through a variety of assignments focused on enhancing AI data for major search engines, social media sites, and streaming platforms.

Candidate Profile

This role is suitable for individuals seeking flexible remote work, including freelancers, students, and stay-at-home parents. No prior experience as a search quality rater is required. Candidates should possess strong web-savviness and expertise in online search methods.

Qualifications and Requirements

• Current residency in Saudi Arabia.
• Proficiency in both English and Arabic.
• Strong understanding of popular culture within Saudi Arabia.
• Commitment to working a minimum of 5 hours and a maximum of 20 hours per week.
• Ability to sign and adhere to a project Non-Disclosure Agreement (NDA).
• Possession of a smartphone and a personal computer with a reliable internet connection.
• Reliable antivirus software installed on the personal computer.
• Successful completion of training modules and a required client-created test before commencing work.
• Only one Search Quality Rater per household is permitted.
• Must be 18 years of age or older.

Work Environment and Benefits

This is a remote, home-based position within Saudi Arabia, offering flexibility and supporting work-life balance. Payments are processed via PayPal or bank account. Evaluators will also gain access to additional opportunities through the TrainAI Community.