Talantix.io
Binance•06.03.26
AI SCORE 8.5

LLM Model Training & Data Processing - Remote Internship at Binance

$50K–$70K/year
RemoteWeb3
Machine Learning•Data Processing•Prompt Engineering•Data Annotation•Python•Deep Learning

About the Role

Join Binance as an LLM Model Training & Data Processing intern in this exciting remote opportunity. As an integral part of the Binance Accelerator Program, you will gain hands-on experience in the rapidly expanding Web3 space, focusing on Large Language Models (LLMs) and AI technologies. This role is designed for current university students and recent graduates eager to kickstart their careers in the blockchain ecosystem.

What You'll Do

  • 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 and integration with external tools.
  • Design, implement, and manage data annotation pipelines, ensuring quality control processes are in place.
  • Collaborate with research and engineering teams to enhance model performance and scalability.
  • Conduct experiments, perform data analysis, and document methodologies and findings clearly.
  • Explore and test new tools and frameworks to improve LLM systems and AI capabilities.

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) is a strong plus.
  • Experience or interest in prompt engineering and model evaluation techniques.
  • Basic knowledge of data annotation workflows and labeling tools.
  • Strong analytical and problem-solving skills; able to work independently and collaboratively.
  • Fluency in English is required; additional languages are advantageous.

Nice to Have

  • PhD in a related field.
  • Experience with fine-tuning methods (e.g., LoRA, QLoRA).
  • Knowledge of data analysis tools and methodologies.

What We Offer

  • Shape the future with the world’s leading blockchain ecosystem.
  • Collaborate with world-class talent in a user-centric global organization.
  • Tackle unique, fast-paced projects with autonomy in an innovative environment.
  • Thrive in a results-driven workplace with opportunities for career growth.
  • Competitive salary and company benefits.
  • Work-from-home arrangement tailored to business needs.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This remote internship at Binance offers an exciting opportunity to work with cutting-edge AI technologies in the Web3 space. With a competitive salary and a focus on career development, it's a great start for aspiring professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Strong foundation in Python programming, particularly with libraries such as TensorFlow and PyTorch, enabling effective data processing and model training for LLMs.

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Proactive and self-motivated attitude, essential for thriving in a fully remote work environment while managing time efficiently and meeting project deadlines.

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Hands-on experience with data annotation and prompt engineering, demonstrating an understanding of how to fine-tune LLMs for specific tasks in a blockchain context.

Learning Resources

→Machine Learning with Python: From Linear Models to Deep Learningcourse
→Deep Learning for Natural Language Processingarticle
→TensorFlow Documentationguide

Career Path

LLM Model Training & Data Processing Intern(Now)→Machine Learning Engineer(1-2 years)→Senior Data Scientist or AI Researcher(3-5 years)

Market Overview

Market Size 2024
$40B
Annual Growth
34.9%
AI Adoption
75%
Investment
+200%
Labour Demand
+45%
Avg Salary
$90K

Skills & Requirements

Required
Machine LearningData ProcessingPrompt Engineering
Growing in Demand
Natural Language Processing (NLP)Data VisualizationCloud Computing
Declining
Traditional Statistical AnalysisRule-Based Systems

Domain Trends

Increased Demand for LLMs
The demand for Large Language Models (LLMs) has surged by 60% in the last year, with companies like Binance investing heavily in training and fine-tuning these models.
Data Annotation Services Growth
The market for data annotation services is expected to grow by 40% annually, driven by the need for high-quality labeled datasets for machine learning applications.
Shift to AutoML Solutions
Over 50% of organizations are adopting Automated Machine Learning (AutoML) solutions to streamline model training processes, reducing the time spent on manual coding and data preparation.

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