Binance15.02.26
AI SCORE 8.5

Binance Accelerator Program - LLM Model Training & Data Processing (Remote)

$80K–$100K/year

About the Role

Join Binance as part of the Binance Accelerator Program, focusing on LLM Model Training & Data Processing. This remote role offers a unique opportunity for early career talent to immerse themselves in the rapidly expanding Web3 space. As a participant, you will gain insights into the workings of the world's leading blockchain ecosystem while contributing to cutting-edge projects.

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, 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; a 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.

Nice to Have

  • Experience with AI frameworks and libraries such as TensorFlow or PyTorch.
  • Knowledge of cloud platforms like AWS or Azure.
  • Familiarity with data visualization tools.

What We Offer

  • 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).
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This role offers a unique opportunity to work with a leading blockchain company, focusing on LLM model training and data processing. Ideal for recent graduates.

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

Who Will Succeed Here

Proficient in Python and familiar with machine learning libraries such as TensorFlow and PyTorch, enabling effective implementation of LLM training techniques.

Self-motivated and disciplined, with a strong ability to work independently in a remote setting, managing time effectively to meet project deadlines.

Eager to learn and adapt quickly to new technologies and methodologies in the rapidly evolving field of machine learning and Web3, demonstrating a growth mindset.

Learning Resources

Machine Learning Crash Coursecourse

Career Path

Binance Accelerator Program - LLM Model Training & Data Processing(Now)Machine Learning Engineer(1-2 years)Senior Machine Learning Engineer / Data Scientist(3-5 years)

Market Overview

Market Size 2024
$20.9B
Annual Growth
38.3%
AI Adoption
75%
Investment in ML Startups
+150%
Labour Demand for ML Roles
+40%
Avg Salary for ML Engineers
$112K

Skills & Requirements

Required
Machine LearningDeep LearningLLMs
Growing in Demand
Natural Language Processing (NLP)Data EngineeringMLOps
Declining
R ProgrammingTraditional Statistical Analysis

Domain Trends

Rise of LLMs in Business
Large Language Models (LLMs) are expected to dominate 60% of AI applications by 2025, leading to a surge in demand for professionals skilled in LLM training and prompt engineering.
Increased Focus on Data Ethics
With 65% of organizations prioritizing ethical AI practices, there is a growing need for data annotation and processing roles that adhere to ethical standards.
Shift to Remote Work in Tech
Remote work in tech roles has increased by 45% since 2020, with companies like Binance adopting flexible models for talent acquisition, enhancing opportunities for junior roles.

Industry News

Loading latest industry news...

Finding relevant articles from the last 6 months

All job postings are automatically gathered by algorithms. We do not review or verify listings, be careful when applying and do not sign-in with iCloud or Google services.