Назад
2 дня назад

AI Trainer (LLM)

Формат работы
remote
Тип работы
fulltime
Грейд
trainee
Английский
c1
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Trainer (LLM): Assisting in the training, fine-tuning, and evaluation of Large Language Models with an accent on data annotation pipelines and AI agent optimization. Focus on improving model performance, scalability, and robustness through rigorous experimentation and methodology documentation.

Company

Binance is a leading global blockchain ecosystem and the world’s largest cryptocurrency exchange, dedicated to increasing the freedom of money and financial access worldwide.

What you will do

  • Assist in the training, fine-tuning, and evaluation of LLMs using public and in-house datasets.
  • Support the development and optimization of AI agents, including prompt engineering and memory modules.
  • Design, implement, and manage data annotation pipelines and quality control processes.
  • Collaborate with research and engineering teams to enhance model performance and scalability.
  • Conduct experiments, perform data analysis, and document methodologies.
  • Explore and test new tools and frameworks for LLM systems.

Requirements

  • Currently pursuing or recently completed a degree in Computer Science, AI, Electrical Engineering, or related field.
  • Solid understanding of machine learning and deep learning fundamentals.
  • Fluency in English is required for coordination with global stakeholders.
  • Familiarity with transformer models and LLMs.
  • Basic knowledge of data annotation workflows and labeling tools.
  • Strong analytical and problem-solving skills.

Nice to have

  • PhD degree.
  • Experience with fine-tuning methods like LoRA or QLoRA.
  • Proficiency in additional languages.

Culture & Benefits

  • Opportunity to work with world-class talent in a global, user-centric organization.
  • Work-from-home arrangement available.
  • Competitive salary and benefits package.
  • Exposure to fast-paced, innovative projects in the digital assets space.
  • Opportunities for professional networking and career development through the BAP program.

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