Principal AI Research Scientist / Applied AI Consultant
Braintrust is a decentralized talent network that connects skilled professionals and freelancers with leading companies. The platform is user-owned and controlled, utilizing the BTRST token on the Ethereum blockchain for governance, payments, and other network activities. Braintrust also offers an AI-powered recruiting platform, Braintrust AIR, to help businesses streamline their hiring process by reducing costs, eliminating bias, and identifying top talent more efficiently.
Projects
About Braintrust
Braintrust operates as a decentralized, user-owned talent network connecting skilled knowledge workers with top companies globally. The platform is built on the Ethereum blockchain and uses its native BTRST token for governance, staking, and payments, allowing talent to retain 100% of their earnings. Braintrust offers several products and services, including a Talent Marketplace and an AI-powered recruiting platform called Braintrust AIR. Braintrust AIR uses conversational AI video interviews to screen candidates, providing detailed scorecards to help companies save time, reduce costs, and eliminate bias in hiring. The platform caters to various industries, including healthcare, technology, and financial services. Braintrust fosters a strong community through its Braintrust Academy, which offers free courses, and various community programs and events. The network is governed by its community, ensuring it serves the needs of its users rather than a centralized corporation.
Skills
About the Role
You will serve as the technical authority for highly complex AI projects, providing expertise on model behavior, benchmarking methodologies, synthetic-data strategies, evaluation systems, and emerging AI capabilities. You will work with program leadership and client stakeholders to assess feasibility, review methodologies, and shape how advanced AI systems are evaluated and improved. This is a remote, flexible engagement contributing to frontier AI work.
Requirements
- 8-12+ years of experience in AI/ML research or applied AI
- PhD preferred in Computer Science, Artificial Intelligence, Machine Learning, or Statistics
- Expertise in large language models, AI agents, synthetic data, reinforcement learning, evaluation systems, and model benchmarking
- Strong written English and the ability to communicate complex ideas clearly
- Comfortable working independently in a remote environment
- Based in India
Responsibilities
- Participate in solution discussions, assess project feasibility, review methodologies, and recommend evaluation approaches
- Create benchmark datasets, define model-evaluation strategies, design reasoning assessments, and develop agent-evaluation frameworks
- Stay current on AI advancements, introduce emerging best practices, and support capability development
- Assess data methodologies, review evaluation systems, identify methodological weaknesses, and recommend improvements