Search Engine Evaluator – Appen
AppenText
During my tenure at Appen as a Search Engine Evaluator, I participated in AI training tasks aimed at improving the quality and relevance of search engine results. The process involved evaluating and rating text-based search queries and their corresponding results according to detailed guidelines. My work contributed to enhancing natural language processing models for better search accuracy and user experience.
• Rated and assessed search results for quality and relevance
• Followed strict guidelines to ensure coherent and unbiased evaluations
• Provided feedback to support algorithmic improvements
• Maintained accuracy and consistency under tight deadlines
During my tenure at Appen as a Search Engine Evaluator, I participated in AI training tasks aimed at improving the quality and relevance of search engine results. The process involved evaluating and rating text-based search queries and their corresponding results according to detailed guidelines. My work contributed to enhancing natural language processing models for better search accuracy and user experience. • Rated and assessed search results for quality and relevance • Followed strict guidelines to ensure coherent and unbiased evaluations • Provided feedback to support algorithmic improvements • Maintained accuracy and consistency under tight deadlines
2018 - 2019