Data and AI Specialist

About Crunchbase

Crunchbase helps over 75 million people around the world connect with the companies and people that matter. Powered by best-in-class proprietary data, Crunchbase is democratizing access to opportunities so salespeople, entrepreneurs, investors, job seekers, and others can accelerate innovation for a better future. We’re proud to build intelligent products that shape how companies and people connect and enable them to communicate in a more meaningful way.

We are committed to a positive, diverse, and inclusive culture by hiring for potential, focused on the inclusion of people who have different ways of thinking, different viewpoints, different backgrounds, and different skill sets. We value a transparent and open culture that positively impacts our teams and our products.

Crunchbase has a remote-first approach, and is open to hiring in residents of these states: 
California, Colorado, Illinois, Florida, Georgia, Massachusetts, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Texas, Virginia, and Washington

Our inclusive remote-first culture, generous PTO policies, competitive pay, and employee wellness benefits set us apart!

Job Summary:

At Crunchbase, our dataset is a living, breathing entity, expanding daily through the collective efforts of the public, our venture program, partners, and our dedicated internal team. The Data Management team at Crunchbase takes the lead in driving initiatives that not only ensure the accuracy but also accelerate the growth of our dynamic dataset.

If you're motivated by the prospect of solving complex problems using data and AI, then we have an exciting opportunity for you! We're seeking individuals with a passion for engaging in diverse projects that span across building tools to enable AI initiatives, optimization of AI models, research, data curation, analysis, and program management.

Essential Duties/Responsibilities:

• Compile and experiment with different prompts to test and optimize LLM outputs to achieve desired results
• Collaborate with data scientists and engineers to create training data sets and fine-tune the AI model's behavior and responses
• Define LLMs models' performance metrics and conduct regular evaluations to measure and improve model performance
• Design, develop, and maintain tools and infrastructure to support and enable LLM initiatives, staying ahead of industry advancements and updating tooling as necessary to ensure cutting-edge capabilities and optimal performance
• Keep abreast of industry best practices, stay informed on emerging trends, and ethical considerations in AI development
• Work with external vendors to get high quality …