About the RoleWe are looking for exceptional people to oversee our data efforts. Your main goal is to design and run data campaigns and evaluations for next-generation models and personalization systems. You will also play a significant role in crafting our training recipes and interfaces for tutors & users.
What You'll Do- Build & oversee the data campaigns that feed training pipelines for next-generation agents and personalization systems. You will work closely with our research teams to figure out what data is needed.
- Create evaluations for general capabilities, model behavior, continual learning, personalization.
- Architect and deploy new clients & interfaces for collecting feedback from tutors and users, working closely with both product and research team members.
- Manage external partnerships with data labelers on a variety of campaigns.
Skills & QualificationsMinimum Qualifications:- Completed or in-progress Bachelors or higher degree, or equivalent professional experience.
- Extensive experience running large-scale data campaigns or post-training at frontier AI company or research institution.
- Exceptional oral and written communication skills.
- Operational experience with hiring or managing human data labelers.
- Evidence of expertise / top of field in a non-technical domain, such as but not limited to: literature, philosophy, history, economics, sociology, psychology, political science.
- A highly collaborative mindset and a bias for action to push boundaries in a fast-paced environment.
Preferred Qualifications: (We encourage you to apply even if you don't meet all of these)
- BA, Masters, or Ph.D. in a humanities, social science, or STEM.
- Experience with managing external partnerships and contracts.
- Exceptional product judgment with the ability to reason backward from user needs, alongside a high degree of ownership to navigate ambiguity.
- Hands-on experience with LLM systems, including APIs, agents, tool calling, prompt iteration, eval frameworks, and inference constraints.
- Familiarity with modern deep learning algorithms including reinforcement learning, supervised fine-tuning.
Logistics & Benefits- Location: Palo Alto, California.
- Compensation: Depending on experience and skills the expected base pay is $200,000 - $300,000 USD per year.
- Benefits: Comprehensive health, dental, and vision insurance; unlimited PTO; and relocation assistance as needed.
- Visa Sponsorship: We sponsor visas and are committed to supporting the process for the right candidate.
