Linguistic Background
- Candidates must have a strong linguistic background relevant to the target language.
- Prior experience in language annotation, labeling, localization, translation, transcription, or linguistic quality analysis is preferred.
Language Proficiency
- Native-level fluency with no restrictions in reading, writing, speaking, or understanding the language.
- Ability to identify subtle grammar, phrasing, contextual, and pronunciation issues in both text and audio content.
- Must actively use the language in daily communication.
- Strong familiarity with the social, cultural, and professional environment of the respective country and language community.
Technical & Educational Proficiency
<>Technical Skills</>
- Basic technical background with familiarity in using tools such as MS Word and Excel.
- Ability to understand and follow instructions related to labeling and annotation tools.
- Comfortable working with spreadsheets, tables, and structured data entry tasks.
- Ability to interpret and follow technical guidelines and labeling processes.
- Familiarity with basic software and hardware terminology (e.g., Outlook, CSV files, ChatGPT, etc.).
- Strong analytical and logical thinking skills to identify patterns, relationships, and correlations within data.
- Basic coding or scripting knowledge is preferred.
<>Educational Qualifications</>
- Bachelor s degree preferred.
- Equivalent experience or demonstrated ability to manage complex tasks with a structured and analytical approach will also be considered.
- Candidates should possess a foundational scientific and problem-solving mindset.