Applied Scientist

Join Prolific, a company at the forefront of AI innovation. As an Applied Scientist, you will design and prototype AI/ML methods to improve data quality and support robust AI evaluation workflows. You will work on applied problems such as quality modeling, judgment aggregation, evaluation design, and reliability testing for AI systems. This role is ideal for someone with deep scientific judgment, strong applied ML skills, and a practical bias toward methods that work in real customer and product contexts.

• Prototyping AI/ML methods to improve human data quality, judgement aggregation, and AI evaluation workflows.
• Designing experiments, benchmarks, and reliability tests to measure whether new methods improve quality, efficiency, or customer outcomes.
• Partnering closely with product and engineering to translate scientific methods into scalable platform capabilities.