Binance Accelerator Program - LLM Model Training & Data Processing

Binance
Singapore
RemoteCareer-pivot friendly

Who this role is best for

Best suited to candidates with a background in machine learning and a strong interest in AI agent development working in a blockchain and cryptocurrency domain.

Best fit for

  • Candidates with a background in machine learning and AI agent development, particularly those interested in blockchain and cryptocurrency applications
    — “Support the development and optimization of AI agents, including prompt engineering, memory modules, planning strategies, and integration with external tools.”
  • Individuals with experience in data annotation and model evaluation, especially those who can design and manage annotation pipelines
    — “Design, implement, and manage data annotation pipelines, including schema definition, labeling guidelines, and quality control processes.”

How to stand out

  • Highlight experience with LLM training and fine-tuning methods like LoRA or QLoRA in your resume and interview responses
    — “Experience or interest in prompt engineering, fine-tuning methods (e.g., LoRA, QLoRA), and model evaluation techniques.”
  • Demonstrate your ability to work with research and engineering teams through collaborative project examples
    — “Work closely with research and engineering teams to improve model performance, scalability, and robustness.”
  • Showcase your fluency in English and any additional language skills in your application materials
    — “Fluency in English is required to be able to coordinate with overseas partners and stakeholders.”
  • Emphasize your analytical skills and ability to document methodologies and findings clearly
    — “Conduct experiments, perform data analysis, and clearly document methodologies and findings.”
  • Demonstrate familiarity with transformer models and LLMs like LLaMA or Qwen in your application materials
    — “Familiarity with transformer models, LLMs (e.g., LLaMA, Qwen), or related technologies is a strong plus.”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Individual

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • training and fine-tuning LLMs
  • data annotation pipeline design
  • collaboration with research teams
Typical background
computer science or related fieldmachine learning experience

Skills & requirements

Required

Machine LearningLarge Language ModelsData ProcessingPrompt Engineering

Preferred

AI Agent DevelopmentLLM Fine-tuning

Stack & domain

Machine LearningDeep LearningTransformer ModelsLlmsPrompt EngineeringFine-tuning MethodsData AnnotationData AnalysisAI AgentsIntegration With External ToolsProblem-solvingTeamworkCommunicationIndependenceCollaborationArtificial IntelligenceData Processing

About the role

Original posting from Binance via Greenhouse

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.

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 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.

Why Binance

Shape the future of finance 

Collaborate with world-class talent in a user-centric global organization with a flat structure

Tackle challenging projects in a fast-paced and innovative enviornment with autonomy

Thrive in a results-driven workplace with opportunities for career growth and continuous learning

Competitive salary and company benefits

Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

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

By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Source: Binance careers (Greenhouse)

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