# Binance Accelerator Program - LLM Model Training & Data Processing [Binance](https://www.jorb.ai/firms/binance.md) · Hong Kong · [Machine Learning Engineering](https://www.jorb.ai/jobs/machine-learning-engineering.md) Binance is hiring a Binance Accelerator Program - LLM Model Training & Data Processing in Hong Kong. Posted 2026-07-16; applications close 2026-10-21. **Apply**: https://jobs.lever.co/binance/cf2742fc-27f2-410c-a2be-afa32c771c01 Posted 2mo ago. ## Role details ## About Binance Accelerator Program (BAP) Binance Accelerator Program (BAP) is a 3–6 month internship program designed for early-career talent to gain firsthand experience in the rapidly expanding digital assets space. You will develop your skills at Binance and learn what it’s like to work at one of the world’s leading blockchain ecosystems. The program also offers opportunities for networking and professional development to build transferable skills. ## Who May Apply - Current university students and recent graduates. Terms of employment/engagement are subject to contract and local applicable laws. ## 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 to enhance LLM systems and AI agent capabilities. ## Requirements - Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline. - PhD is a 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 independently and collaboratively. - Fluency in English is required to coordinate with overseas partners and stakeholders. - Additional languages would be an advantage. ## Why Binance - 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 (may vary depending on business team and work nature). ## Equal Opportunity Binance is committed to being an equal opportunity employer and believes that a diverse workforce is fundamental to its success. By submitting a job application, you confirm that you have read and agree to the Candidate Privacy Notice. ## Applying to this role This Binance Accelerator Program - LLM Model Training & Data Processing role at Binance runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications. 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