Binance Accelerator Program - LLM Model Training & Data Processing

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.

• Shape the future of finance 
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.