LLM & AI Research Accelerator

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 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.