Remote Senior LLM Specialist

Summary

The Senior LLM Specialist at Appen is responsible for fine-tuning and training large language models, ensuring quality, collaborating with cross-functional teams, and adapting to project demands. Requirements include writing/communications expertise, excellent writing skills, attention to detail, problem-solving skills, industry knowledge, ethics and privacy awareness, project management skills, and a contractual arrangement.

Requirements

• Writing/ Communications Expertise: In-depth knowledge of writing concepts and communication languages, with a background in large language processing and LLMs
• Excellent Writing Skills: Demonstrated ability to produce well-structured and articulate technical documentation and reports
• Attention to Detail: Strong analytical skills and an unwavering focus on precision and accuracy
• Problem-Solving Skills: Ability to tackle complex problems, think algorithmically and critically, and develop innovative solutions to enhance model performance
• Industry Knowledge: Understanding of the broader tech industry and its intersection with AI, including competitive trends and key players, which can inform strategic decisions
• Ethics and Privacy Awareness: Understanding of ethical considerations in AI, including data privacy, fairness, and transparency, particularly in the training and deployment of large language models
• Project Management: Skills in managing projects from conception through implementation, including setting timelines, coordinating with team members, and ensuring project goals are met on time and within budget

Responsibilities

• LLM Model Fine-Tuning: Utilize your expertise in writing and language understanding to fine-tune existing Large Language Models for optimal performance in various generalist-related tasks
• Model Training and Evaluation: Conduct rigorous testing and evaluation of LLMs to identify areas for improvement and implement solutions to enhance their performance
• Writing and Documentation: Demonstrate excellent writing skills to document the fine-tuning process, methodologies, and outcomes in clear and concise reports
• Quality Assurance: Maintain a meticulous approach to detail and accuracy, ensuring that LLM outputs meet the highest quality standards and adhere to general guidelines
• Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and language experts, to achieve project goals and deliver outstanding results
• Adaptability: Be flexible in your work hours to meet project demands and deadlines, while providing reliable support to the team