Remote LLM Training & Data Processing Internship

Binance; United States; Remote; USD 28,000 - 41,000; Full time

Benefits offered by this job

Remote work arrangement

Networking opportunities

Career development

Job summary

Binance Accelerator Program invites current university students and recent graduates to a 3-6 month internship focused on hands-on AI and LLM work. You will train and evaluate models, develop prompt strategies, and help design data annotation pipelines in collaboration with research and engineering teams.

You will gain practical experience with transformer models and cutting-edge fine-tuning methods while developing strong analytical skills in a fast-paced, globally connected environment.

Qualifications

• Currently pursuing or recently completed a Degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline.
• PhD is a bonus.

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

Machine learning

Deep learning

Transformer models

Prompt engineering

Fine-tuning methods

Data annotation workflows

Analytical skills

English fluency

Education

Bachelor's in CS/AI/EE

PhD (bonus)

Job description

Binance Accelerator Program invites current university students and recent graduates to a 3-6 month internship focused on hands-on AI and LLM work. You will train and evaluate models, develop prompt strategies, and help design data annotation pipelines in collaboration with research and engineering teams.

You will gain practical experience with transformer models and cutting-edge fine-tuning methods while developing strong analytical skills in a fast-paced, globally connected environment.