This opportunity is for STEM PhD experts interested in contributing to advanced AI research and evaluation projects involving state-of-the-art large language models (LLMs).
The role involves applying deep subject matter expertise to develop challenging, domain-specific problems and create high-quality data that helps improve the reasoning, accuracy, and problem-solving capabilities of next-generation AI systems.
Required Qualifications
• PhD in a STEM discipline.
- Expertise in one or more of the following fields:
- Biology
- Mathematics
- Chemistry
- Physics
- Computer Science
- Statistics
- Economics
- Or a closely related STEM discipline.
• Deep subject matter expertise with the ability to develop complex, research-level problems within your domain.
- Strong analytical, critical-thinking, and problem-solving skills.
- Exceptional attention to detail and commitment to technical accuracy.
- Excellent written and verbal communication skills in English.
- Ability to work independently in a remote environment.
Responsibilities
- Develop challenging, domain-specific problems based on your area of expertise.
- Create high-quality reference solutions and technical explanations.
- Review and evaluate AI-generated responses for accuracy, reasoning, and technical quality.
- Identify errors, inconsistencies, and opportunities to improve AI-generated outputs.
- Apply advanced subject matter expertise to strengthen the reasoning capabilities of large language models.
- Contribute high-quality training and evaluation data to support the development of next-generation AI systems.
- Collaborate with interdisciplinary teams to ensure technical accuracy and maintain high-quality evaluation standards.