Java Developer for AI Model Training

Role Overview:

The LLM Java Developer will play a crucial role in the design, development, and delivery of innovative features for next-generation dialog agents. These agents will serve various applications, including education, entertainment, and general question-answering. This position offers an exciting opportunity for developers eager to thrive in a fast-paced environment while contributing to the advancement of AI technology.

Key Responsibilities:

• Design, develop, and maintain efficient, high-quality code to train and optimize AI models.
• Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement.
• Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.
• Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise.
• Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality, task-specific datasets.
• Collaborate with researchers and annotators to execute Reinforcement Learning with Human Feedback (RLHF) and refine reward models.
• Design innovative evaluation strategies and processes to improve the model''s alignment with user needs and ethical guidelines.
• Create and refine optimal responses to improve AI performance, emphasizing clarity, relevance, and technical accuracy.
• Conduct thorough peer reviews of code and documentation, providing constructive feedback and identifying areas for improvement.
• Collaborate with cross-functional teams to improve model performance and contribute to product enhancements.
• Continuously explore and integrate new tools, techniques, and methodologies to enhance AI training processes.

Qualifications:

• Experience in training LLM models with high-quality, stable, and scalable back-end components using the latest coding best practices across various languages and frameworks.
• Participation in code reviews to ensure adherence to code quality standards.
• Proficiency in Java''s syntax and conventions, demonstrating clear, organized, and well-annotated code.
• Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent experience.
• Demonstrable experience in developing web applications using modular development and scalable architectures, with a strong focus on code readability and security/stability.
• Prior software Quality Assurance and Test Planning experience is a plus.
• Excellent spoken and written English communication skills.

Work Terms:

• Commitments Required: At least 4 hours per day and a minimum of 20 hours per week with 4 hours of overlap with PST.

Compensation:

• Competitive compensation based on experience and project scope.

Eligibility:

• Remote work opportunity.
• Open to candidates with the right to work in their respective locations.

Perks of Freelancing:

• Fully remote work environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.