Remote Environmental Science AI Benchmark Architect

Mercor is looking for experienced environmental-science professionals to create realistic digital workspaces for AI training. Candidates will utilize their expertise in environmental assessment and compliance, working with existing tools like Esri ArcGIS and SAS. The role involves collaborating with experts to design tasks that challenge AI agents based on real-world workflows. A minimum of 3 years of relevant experience and an MS/PhD in a related field are preferred. The compensation structure will transition from an hourly rate to performance-based pay. J-18808-Ljbffr