English Linguists

Company Description

Transsion Holdings is dedicated to becoming the preferred provider of smart terminal products and mobile internet services in emerging markets. It operates renowned mobile phone brands such as TECNO, itel, and Infinix, along with accessory brand Oraimo and home appliance brand Syinix. With a significant global presence, Transsion achieved a market share of 8.1% worldwide in 2019, ranking fourth globally and first in Africa. The company emphasizes localized technological innovation, evidenced by its customized operating systems and strategic partnerships with global leaders like Google and Facebook. Headquartered in China, Transsion is backed by extensive research centers, manufacturing hubs in multiple countries, and a strong commitment to improving user experience in over 70 countries and regions.

Role Description

This is a full-time, on-site role for an English Linguist located in Cairo, Egypt. The English Linguist will be responsible for reviewing, editing, and proofreading English content to ensure linguistic accuracy and cultural appropriateness. Other tasks include developing language guidelines, conducting linguistic research, and collaborating with cross-functional teams to ensure consistency in language usage and brand voice. The role may also involve managing translation and localization processes for a variety of content types to meet market expectations.

Job Description

• Participate in the research and development of linguistic rules.
• According to the project requirements, accurately label the data, such as text labeling, voice labeling, etc..
• Responsible for organizing and saving relevant documents and records in the annotation process, such as annotation rule documents, annotation data samples, etc.
• collect, organize, annotate language data for AI model training and optimization.
• Learn to understand AI related business processes

Requirements

• Bachelor degree or above, majoring in language or linguistic is preferred
• At least 6 months of experience in natural language data labelling .
• Proficient in Arabic languages with good listening , speaking ,reading and writing skills
• Strong sense of responsibility and teamwork .