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Career Advancement Through Cutting-Edge Technology

3 weeks ago

Sydney, New South Wales, Australia beBeeDeveloper Full time $100,000 - $120,000
Web3 Innovation Opportunity

This is a fixed-term position for Early Career Talent to gain immersive experience in the rapidly expanding Web3 space.

The role offers a unique chance to work with the world's leading blockchain ecosystem, collaborate with top talent, and develop valuable skills that can propel your career forward.

Key Responsibilities:
  • Assist in training, fine-tuning, and evaluating 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.
Required Skills and Qualifications:
  • 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, 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.