Mercor is seeking experienced civil engineering professionals to contribute to advanced AI evaluation and training projects. This role involves applying real-world engineering expertise to develop complex engineering scenarios, evaluate AI-generated outputs, and help improve the reasoning capabilities of next-generation AI systems.
Ideal Candidates
5+ years of qualified experience in civil engineering, infrastructure, construction, transportation, structural, geotechnical, or water resources engineering.
Experience working on large-scale engineering projects, design reviews, or regulatory compliance processes.
Robust understanding of engineering standards, design methodologies, and industry best practices.
Excellent analytical, problem-solving, and technical communication skills.
Qualified Engineering (PE) license or equivalent certification is a plus.
Key Responsibilities
Design realistic civil engineering scenarios based on industry workflows and project requirements.
Develop reference solutions, technical analyses, and evaluation criteria.
Review and assess AI-generated engineering outputs for accuracy, completeness, and technical quality.
Apply engineering judgment to identify errors, risks, and opportunities for improvement.
Collaborate with researchers and subject-matter experts to maintain high evaluation standards.
Contribute high-quality training and evaluation data to improve advanced AI systems.
Compensation
Competitive compensation of $50–$100/hour.
Weekly payments.
Independent contractor engagement.
Application Process
Apply through the Mercor application process.
Complete evaluation and interview stages.
Receive onboarding details and next steps via email.