Member of Program Staff, Data

River AI Inc.; Palo Alto (CA); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Unlimited PTO

Relocation assistance

Job summary

River AI Inc. is seeking a data campaigns lead to design and run campaigns and evaluations for next‑generation models and personalization systems.

You will work with research and product teams to determine data needs and build training recipes and interfaces for tutors and users. You will oversee partnerships with data labelers, manage scalable data operations, and drive continual learning initiatives to improve model personalization.

Qualifications

• Completed or in-progress bachelor's degree or higher, or equivalent professional experience.
• Extensive experience running large-scale data campaigns at frontier AI company or research institution.
• Exceptional oral and written communication skills.
• Operational experience hiring or managing human data labelers.
• Evidence of expertise in a non-technical domain (e.g., literature, philosophy, history, economics, sociology, psychology, political science).
• A highly collaborative mindset and a bias for action in a fast-paced environment.

Responsibilities

• Build and oversee data campaigns feeding training pipelines for next-generation agents and personalization systems.
• Create evaluations for general capabilities, model behavior, continual learning, personalization.
• Architect and deploy new clients and interfaces for collecting feedback from tutors and users, in collaboration with product and research teams.
• Manage external partnerships with data labelers on various campaigns.

Skills

Data campaigns

Data labeling

Communication skills

Hiring data labelers

Non-technical expertise

Collaboration

Education

Bachelor's degree

Tools

LLM systems

Job description

At River, our mission is to create personal AI owned and shaped by each individual. To achieve this, we are rewriting the entire stack from scratch: personal hardware for local inference, bespoke training infrastructure, next-generation UIs, and frontier deep learning research.

Who we are

We are scientists, engineers, and builders from the industry's top tech companies and AI labs. We bring a proven track record of scaling consumer systems for hundreds of millions of users and architecting the pre-training infrastructure behind today's frontier models.

About the Role

We 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 & Qualifications

Minimum 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.
• 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.