Binance Accelerator Program - LLM Model Training & Data Processing

Blockchain Academics; Singapore; Remote; SGD 35,000 - 52,000; Full time

Benefits offered by this job

Remote-first

Work-from-home arrangement

Job summary

Binance is seeking an enthusiastic student or recent graduate in Computer Science, AI, or related fields to join our team in Singapore as an ML/AI intern. You will assist in training, fine-tuning, and evaluating LLMs, and collaborate with research and engineering teams on model improvement.

You will gain hands-on experience with prompt engineering, data annotation pipelines, and evaluation techniques, while working in a remote-first environment with global partners. English fluency is required.

Qualifications

• 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.

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.

Skills

LLM training & evaluation

Prompt engineering

Fine-tuning (LoRA, QLoRA)

Data annotation workflows

English fluency

Analytical problem-solving

Independent & collaborative work

Education

Degree in CS/AI/EE or related (PhD bonus)

Tools

Transformer models

LLaMA

Qwen

Labeling tools

Job description

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. 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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