Job Description & How to Apply Below
AI Linguistic Engineer - Tamil
PURPOSE OF THE POSITION:
As an AI Linguistic Engineer, you will develop linguistic rules, collect and annotate language data, and ensure high-quality inputs for AI models. Responsibilities include data labeling, quality checks, and model evaluation while gaining insights into AI processes like speech recognition and NLP. You'll collaborate closely with the team to optimize models and support related tasks.
A)
Key Responsibilities:
As an AI linguistic Engineer in AI language research and development, and data production related positions, you will participate in the research and development of language rules, data collection, sorting and labeling, etc., to provide high-quality data support for our Machine Learning algorithms and models. You will work closely with our team and be responsible for completing the following main tasks:
1. Participated in the research and development of linguistic rules.
2. Collect, organize, and annotate language data for AI model training and optimization.
3. Focus on the learning and auxiliary formulation of specific link standards in data production; data labeling, quality inspection, model effect evaluation; and training of labeling personnel.
4. Learn to understand AI-related business processes and algorithmic processes, including but not limited to automatic speech recognition , natural language processing, and Text To Speech.
5. Other business related work
B)
Desired Candidate Profile
A) ELIGIBILTY CRITERIA –
a) Must have an Excellent Communication Skills and expertise with language - Tamil Language
b) Person with Scholar articles/Publications is preffered
B) SKILLS REQUIRED –
1. Bachelor degree or above, majoring in language or linguistics is preferred.
2. Solid foundation in theoretical linguistics, with a strong interest and passion for linguistic research, and a strong interest in applying linguistic knowledge to the industrial Transsion Holdings, Inc. field.
3. Proficient in the target languages, with good listening, speaking, reading and writing skills, able to accurately understand and express language characteristics.
4. Able to communicate in English for internal communication with team.
5. Proficient in using Product for audio analysis and annotation is preferred.
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