Degree in Computational linguistics
Analytical and Problem solving, Teamwork, UX design, Python Programming, Aartificial intelligence, Machine learning techniques, Natural Language Processing (NLP), Linguistic, Effective communication skills, Data Analysis, Large Language Models - LLMs, ChatGPT
The AI Prompt Engineer and Fine-Tuner is responsible for optimizing the interactions with AI language models. This role involves crafting effective prompts to elicit desired responses from the model and fine-tuning the model's responses for specific use cases. The ideal candidate will have a strong understanding of AI language models, natural language processing, and user experience design.
Key Responsibilities:
Prompt Engineering:
Model Fine-Tuning:
Quality Assurance:
User Experience Design:
Documentation and Training:
Qualifications:
Desired Qualifications:
e2f facilitates seamless communication between humans and machines, transcending barriers of language, content, and culture. Leveraging its proficiency in data science and extensive experience in agile translation across over 200 languages and dialects, e2f offers unparalleled linguistic datasets encompassing multilingual speech, text, annotation, and quality data. These resources are essential for enabling machines to comprehend human interactio