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High-Quality Search Operations Specialist
3 weeks ago
As a key member of our team, you will be responsible for conducting quality inspections of various data sets and projects. You will ensure that they meet project requirements and maintain timely delivery of QA cases.
- Conduct quality inspections of data sets and projects to ensure compliance with project requirements and standards.
- Demonstrate exceptional judgment in resolving ambiguous cases and provide timely feedback, identifying potential risks and suggesting improvements.
- Prioritize the quality, safety, and integrity of content while closely monitoring business progress and contributing to product function optimization iterations.
- Collaborate with stakeholders to optimize relevant policies and standard operating procedures (SOPs), supporting training and clarification processes to ensure accurate understanding and data delivery.
- Facilitate calibration meetings with teams involved during appeal processes, analyze cases, offer solutions, and suggestions to enhance team performance, accuracy, and alignment towards project targets.
- Provide data analysis, root cause analysis (RCA), and action plans during project performance review meetings and quarterly business reviews (WBRs, QBRs, etc.).
- Fluent English is required as the role requires communication with English markets.
- Knowledge of search engines and familiarity with social media platforms.
- Flexibility to work on projects outside core expertise as needed and ability to manage multiple projects at the same time.
- Ability to work on potentially variable shift patterns, including weekends, evenings, and nights, ensuring availability for five out of seven days per week.
- Willingness to work with sensitive and potentially disturbing content.
- QA, moderation, AI annotation experience or equivalent, market knowledge, understanding of local culture and internet usage habits of target markets.
- Familiarity with online shopping-related businesses and search trends is desirable.
- Strong analytical skills including data analytics, learning ability, problem-solving skills, adaptability, and attention to detail.
- Proficient in common productivity software (e.g., Office Suite, Google Workspace).
- Ability to work effectively with cross-functional teams and stakeholders in multiple locations and timezones.
