Lead impactful projects ensuring the safety of AI systems with a focus on large language models. Drive data-centric approaches and collaborate with talented teams in a flexible remote environment.
In this role on the Safety for Agents team, you will make strides in developing fair and secure AI models. This position combines skills in data generation, post-training evaluation, and ethical AI development. You'll partner with various cross-functional teams to enhance both model performance and safety standards through innovative solutions.
Key Responsibilities:
• Oversee data generation and evaluation for model safety
• Implement algorithms and strategies for effective training
• Work with human annotators for data quality improvements
• Assess biases in datasets for training alignment
• Present research findings and actionable insights
Requirements:
• Strong background in statistical analysis and software engineering
• Experience with LLMs and distributed t...