Binance Accelerator Program LLM Model Training & Data Processing
Taipei City - Taiwan
Job Summary
- Assist in the training fine-tuning and evaluation of Large Language Models (LLMs) using public and in-house datasets.
- Support the development and optimization of AI agents including prompt engineering memory modules planning strategies and integration with external tools.
- Design implement and manage data annotation pipelines including schema definition labeling guidelines and quality control processes.
- Work closely with research and engineering teams to improve model performance scalability and robustness.
- Conduct experiments perform data analysis and clearly document methodologies and findings.
- Explore and test new tools frameworks and best practices for enhancing LLM systems and AI agent capabilities.
- Currently pursuing or recently completed a Degree in Computer Science Artificial Intelligence Electrical Engineering or a related discipline. PHD is Bonus.
- Solid understanding of machine learning and deep learning fundamentals.
- Familiarity with transformer models LLMs (e.g. LLaMA Qwen) or related technologies is a strong plus.
- Experience or interest in prompt engineering fine-tuning methods (e.g. LoRA QLoRA) and model evaluation techniques.
- Basic knowledge of data annotation workflows and labeling tools.
- Strong analytical and problem-solving skills; able to work both independently and collaboratively.
- Fluency in English is required to be able to coordinate with overseas partners and stakeholders. Additional languages would be an advantage.
About Company
Binance is a blockchain ecosystem comprised of Exchange, Labs, Launchpad, Info, Academy, Trust Wallet, and Blockchain Charity Foundation (BCF). Binance Exchange is one of the fastest and most popular cryptocurrency exchange platforms in the world, capable of processing over 1.4 millio ... View more