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Binance Accelerator Program - LLM Model Training & Data Processing

Unlock employer United Arab Emirates Direct to Company Under an hour ago · 09 Sep 2026

Financial

  • Estimate: $18k - $36k*
  • Zero income tax location

Accessibility

  • Fully Remote
  • Apply from abroad
  • No Relocation Support
  • No Visa Provided

Requirements

  • Experience: Entry Level
  • English: Fluent

Position

About the Role
The company Accelerator Program (BAP) is a 3-6 month internship program designed for early career talent to gain firsthand experience in the rapidly expanding digital assets space. Interns will have the opportunity to develop their skills at the company and understand the dynamics of working at the world's leading blockchain ecosystem. The program includes networking and development opportunities that will expand your professional network and build transferable skills to further your career.

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Who May Apply

  • Current university students and recent graduates.

Terms of employment / engagement shall be subject to contract and local applicable laws

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 a 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 coordinate with overseas partners and stakeholders; additional languages would be an advantage.

Why the company

  • Shape the future with the world’s leading blockchain ecosystem.
  • Collaborate with world-class talent in a user-centric global organization with a flat structure.
  • Tackle unique, fast-paced projects with autonomy in an innovative environment.
  • Thrive in a results-driven workplace with opportunities for career growth and continuous learning.
  • Competitive salary and company benefits.
  • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team).

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

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