LLM Model Training & Data Processing

Summary

Join Binance Accelerator Program, a fixed-term program for early career talent to gain immersive experience in the Web3 space. You'll work alongside Binance's leading blockchain ecosystem, focusing on training, fine-tuning, and evaluating Large Language Models (LLMs). Responsibilities include supporting AI agent development, managing data annotation pipelines, collaborating with research and engineering teams, and conducting experiments. The program offers networking and development opportunities to expand your professional network and build transferable skills. Successful candidates will have a degree in a related field, a solid understanding of machine learning, and experience with LLMs. Competitive salary and company benefits are offered, including a work-from-home arrangement.

Requirements

• Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline
• Solid understanding of machine learning and deep learning fundamentals
• 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)