Binance Accelerator Program - LLM Model Training & Data Processing

Binance; Singapore; À distance; SGD 17 000 - 26 000; Plein temps

Résumé du poste

Binance is seeking a driven student or recent graduate to contribute to training, fine-tuning, and evaluating LLMs within a global blockchain ecosystem. You will assist in building AI agents, prompt engineering, memory modules, planning strategies, and integrating external tools.

You will design data annotation pipelines, define schemas, and establish labeling guidelines with quality controls, collaborating closely with research and engineering teams to improve model performance and robustness.

Qualifications

• Pursuing or completed degree in CS/AI/EE; PhD is a bonus.
• Solid ML and DL fundamentals.
• Experience with prompts, LoRA/QLoRA, and model evaluation is a plus.
• English fluency required; other languages a plus.

Responsabilités

• Assist in training, fine-tuning, and evaluating LLMs using datasets.
• Support AI agents development: prompts, memory, planning, tool integration.
• Design and manage data annotation pipelines with guidelines and QC.
• Collaborate with research and engineering to improve models.
• Conduct experiments, data analysis, and document methods and findings.
• Explore new tools and practices to enhance LLM systems.

Connaissances

Machine learning fundamentals

Deep learning fundamentals

Analytical thinking

English fluency

Formation

Degree in Computer Science, AI, or Electrical Engineering

PhD is Bonus

Outils

Transformer models and LLMs

LoRA/QLoRA familiarity

Data annotation tools knowledge

Description du poste

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.

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.

Requirements

• 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.

Why Binance

• 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.