Binance Accelerator Program - LLM Model Training & Data Processing

Binance
Australia, United Arab Emirates, Hong Kong, Taiwan
Workplace: RemoteInternshipFunction: Education & TrainingSkills: ["Analytical thinking","Problem-solving","Collaboration","Independent work","Documentation"]

Support the training, fine-tuning, and evaluation of Large Language Models using public and in-house datasets. Help develop and optimize AI agents through prompt engineering, memory modules, planning strategies, and tool integrations. Build and manage data annotation pipelines with labeling guidelines and quality control, collaborate with research and engineering teams to improve model performance, and run experiments with clear documentation of results.

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FursaFursa
Binance
Binance
2 months ago

Binance Accelerator Program - LLM Model Training & Data Processing

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Support the training, fine-tuning, and evaluation of Large Language Models using public and in-house datasets. Help develop and optimize AI agents through prompt engineering, memory modules, planning strategies, and tool integrations. Build and manage data annotation pipelines with labeling guidelines and quality control, collaborate with research and engineering teams to improve model performance, and run experiments with clear documentation of results.
Location: Australia, United Arab Emirates, Hong Kong, Taiwan
Workplace: Remote
Employment Type: Internship
Job Function: Education & Training
Seniority: Intern level

Key Responsibilities

  • •Assist in the training, fine-tuning, and evaluation of Large Language Models 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 document methodologies and findings clearly; explore new tools and frameworks to enhance LLM capabilities.

Pay and Benefits

Perks:Remote Work

Key Requirements

  • •Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline.
  • •Solid understanding of machine learning and deep learning fundamentals.
  • •Familiarity with transformer models and LLMs (e.g., LLaMA, Qwen).
  • •Experience or interest in prompt engineering, fine-tuning methods (LoRA, QLoRA), and model evaluation.
  • •Basic knowledge of data annotation workflows and labeling tools.
Experience:Machine learningDeep learningLLMs
Education:
Skills:Analytical thinkingProblem-solvingCollaborationIndependent workDocumentation
Languages:English
Tech Stack:Machine learningDeep learningTransformer modelsLLMsLLaMAQwenPrompt engineeringFine-tuningLoRAQLoRAData annotation pipelinesLabeling toolsAI agentsModel evaluationQuality control

Company Brief

Binance
Operates one of the world’s largest cryptocurrency exchanges, offering spot and derivatives trading, a native token (BNB), wallet services, staking, and a broad suite of crypto financial products and infrastructure.
Industry: Trading Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Unicorn (USD 1B+)
Funding: Bootstrapped
Headquarters: George Town, Cayman Islands
Founded: 2017
WebsiteLinkedIn