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1. Role Overview

Mercor is collaborating with a leading AI lab on a research initiative requiring automotive domain expertise. Experienced automotive professionals will contribute practical knowledge of vehicle systems, manufacturing, supply chains, and industry operations to help evaluate and improve AI systems. This work is well-suited for detail-oriented experts who can quickly apply structured guidelines to complex, real-world automotive scenarios. ##

2. Key Responsibilities

- Review and evaluate AI-generated content related to automotive systems, processes, and industry workflows - Assess technical accuracy, logical consistency, and real-world applicability - Identify errors, gaps, or incorrect assumptions in automotive-related reasoning - Provide clear, structured feedback aligned with project evaluation standards ##

3. Ideal Qualifications

- Professional experience in the automotive industry (e.g., OEMs, suppliers, manufacturing, engineering, operations, or adjacent domains) - Strong familiarity with automotive systems, production processes, or operational workflows - High attention to detail and accuracy - Ability to quickly learn and apply new evaluation criteria - Strong written communication skills ##

4. More About the Opportunity

- Work focused on automotive-oriented AI research and evaluation efforts - Emphasis on applying real-world automotive experience to complex operational and technical scenarios ##

5. Application Process

- Submit your resume to get started - Complete a short follow-up form focused on automotive domain expertise - Mercor will follow up with next steps if there is a strong fit ##

6. About Mercor

- Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations - Backed by investors including Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey - Thousands of professionals across domains such as automotive, manufacturing, finance, law, engineering, and research collaborate through Mercor on frontier AI projects