Data Organization and Analysis

- Analyze the product logs and propose suggestions for product optimization.

- Collect, generate, and clean data, such as finding relevant articles for specific topics and creating relevant questions.

Prompting

- Utilize generative AI to expedite the work process.

- Develop prompts to generate data at a large scale.

System Testing and Evaluation

- Ensure the performance of in-house generative AI models.

- Compare the performance of various language models, such as GPT3.5, GPT4, Gemini Pro, Phi2, etc.

Article and Product Surveying

- Research and analyze popular science articles related to NLP applications or processes (non-technical).

- Conduct trial usage of state-of-the-art AI products.

● Strong Interest in Generative AI: A keen interest in the field of generative artificial intelligence is a must.

● Extensive Experience with AI Technologies: Applicants should have hands-on experience with various AI services.

● Proficient in Data Analysis: The ability to analyze and interpret complex datasets is crucial.

● Python Skills: Basic proficiency in Python is required, as it's a key tool in our AI and data analysis work.

● Language Proficiency: Excellent command of both English and Mandarin Chinese is necessary. Additional proficiency in Taiwanese and understanding of its phonetic principles is a plus.