Develop state-of-the-art instruments and models to accelerate discovery of critical battery metals.
Work with an outstanding team of data scientists and geoscientists to integrate data and make predictions.
Design, deploy, and calibrate sensor systems and build predictive models for mineral exploration.
KoBold builds AI models for mineral exploration to find critical battery metals. It is the largest independent mineral exploration company and exploration technology developer, with a portfolio of 60+ projects and investors including major institutions and venture capital firms.
Lead end-to-end technical delivery for client-facing scientific and AI-driven projects.
Design, build, and deploy scalable software systems that extend or wrap scientific models.
Act as a technical liaison between researchers, product teams, and engineering stakeholders.
This role sits at the intersection of advanced AI systems, scientific computing, and real-world drug discovery applications, where engineering directly enables breakthroughs in life sciences. The position requires strong autonomy and the ability to operate in highly ambiguous, research-driven environments where experimentation and execution go hand in hand.
Review materials science papers and graphical abstracts generated by LLMs to ensure accuracy.
Identify and flag discrepancies where the abstract doesn't match the original paper.
Apply deep expertise to improve cutting-edge AI models through strategic document audit.
Prolific builds the world's largest pool of quality human data for AI development, connecting over 35,000 researchers with paid study participants. The company focuses on ethical data collection and flexible remote work for experts.