LLM Algorithm Engineer Assistant

Company Introduction

Our Iris’s Palette Project focused on integrating art therapy with AI technology, dedicated to promoting the innovation and application of painting psychological analysis. Our team consists of professional painting psychological analysts and AI developers, who help individuals understand their emotions and promote mental health through the analysis of artwork. We provide expertise in psychological knowledge, AI model development, and therapeutic art creation services, aiming to create a safer and healthier psychological environment for young generations.

Job Function

Technology Research and Development

Job Description

1. Data Preparation:

• Assist in collecting and cleaning datasets for painting psychology analysis, including art creations and labels.
• Conduct data annotation and classification to ensure data quality.

2. Model Training:

• Participate in training and tuning large language models focused on painting psychology.
• Evaluate model performance and propose improvements based on feedback.

3. Research Support:

• Assist in researching the relationship between painting and psychological states.
• Help develop analysis tools to aid users in understanding emotional expressions in art.

4. Documentation:

• Write technical documents and reports on project progress and findings.
• Prepare presentation materials to showcase research outcomes.

5. Collaboration & Learning:

• Work with algorithm engineers and psychology experts on projects.
• Stay updated on trends in NLP, psychology, and art research.

Work Mode

Mix-mode (remain consistent within a calendar month)

Work Location

1. Innocentre, Kowloon Tong; 2. Man Foong Industrial Bldg, Chai Wan; 3. Shenzhen Bao'an District

Preferred Academic Disciplines

Arts & Humanities, Engineering, Media and Communication, Sciences, Technology

Preferred Skills and Knowledge

• Currently enrolled student in Computer Science, Artificial Intelligence, Psychology, Art, or a related field.
• Strong interest in natural language processing and psychological analysis, with some foundational knowledge.
• Familiarity with Python programming and experience with machine learning frameworks (such as TensorFlow or PyTorch) preferred.
• Good communication skills and team collaboration awareness, with the ability to learn new technologies quickly.
• Problem-solving skills and the ability to work independently.