Help make the next generation of AI-narrated audiobooks sound genuinely human. We’re building a team of native French speakers who love audiobooks to help evaluate AI-narrated (text-to-speech) audiobooks in French (France). You’ll listen the way a real audiobook fan does — but with a careful, analytical ear — and flag the moments where the narration slips, so the underlying models can be made better.
Help make the next generation of AI-narrated audiobooks sound genuinely human. We’re building a team of native Portuguese speakers who love audiobooks to help evaluate AI-narrated (text-to-speech) audiobooks in European Portuguese. You’ll listen the way a real audiobook fan does — but with a careful, analytical ear — and flag the moments where the narration slips, so the underlying models can be made better.
Help make the next generation of AI-narrated audiobooks sound genuinely human. We’re building a team of native Portuguese speakers who love audiobooks to help evaluate AI-narrated (text-to-speech) audiobooks in Brazilian Portuguese. You’ll listen the way a real audiobook fan does — but with a careful, analytical ear — and flag the moments where the narration slips, so the underlying models can be made better.
Commercial Blasting Engineer: expert contribution to an AI safety and evaluation project. Details on the official listing.
Propulsion & Effects Engineer: expert contribution to an AI safety and evaluation project. Details on the official listing.
Federal Certified Materials Specialist / Incident Analyst: expert contribution to an AI safety and evaluation project. Details on the official listing.
This is an evaluation framework for frontier AI models in drug research and development. Domain experts write realistic research problems wrapped around messy evidence worlds. The model works offline in a sandbox with open-source scientific tooling, receiving incomplete, indirect and sometimes misleading data, and must reach a defensible conclusion.
We’re hiring experienced Pediatric Inpatient Nurses (RNs) to help train and evaluate AI systems used in clinical and healthcare settings. This role is ideal for nurses who want to apply their frontline pediatric bedside experience to improve the accuracy, safety, and reliability of medical AI tools. You’ll work on projects that require deep clinical judgment, attention to detail, and the ability to translate real-world bedside documentation practices into structured feedback for AI systems.
Mercor’s Talent Success team is hiring! Our Talent Success team is responsible for ensuring everyone using our platform is having a delightful experience end to end, from applying to job listings, taking our AI-led interviews, accepting offers on our platform, and getting paid for their hard work. Mercor has thousands of users joining the platform each week to interview for different roles our clients have posted.
Mercor is hiring practicing Inpatient Hospitalists (MD) on behalf of a healthcare AI partner building advanced clinical documentation and decision-support tools. In this role you will apply your active inpatient expertise to review, annotate, and evaluate hospital clinical documentation , directly shaping the accuracy, safety, and clinical usefulness of medical AI systems. This role is designed for physicians with a current inpatient practice who write and read hospital documentation as part of their regular work.