**Mercor is hiring experienced Engineering professionals** to join an exciting collaboration with a top AI research lab. This role involves contributing to the development and evaluation of advanced AI systems designed to replicate real-world workflows across civil, mechanical, electrical, chemical, materials, and systems engineering.
**Key Responsibilities**
– Create and assess complex problems in engineering across subdomains such as civil, mechanical, electrical, chemical, materials, and systems engineering
– Evaluate AI-generated responses for conceptual accuracy, technical rigor, and domain relevance
– Provide clear written feedback on engineering problem sets, designs, and solutions
– Collaborate asynchronously with AI researchers and engineers to iterate and improve model performance
– Ensure technical accuracy and academic precision in all engineering content used to train or evaluate AI systems
**Ideal Qualifications**
– PhD in Engineering (e.g., Mechanical, Electrical, Civil, Chemical, Materials, Aerospace, or Systems) or a closely related discipline from a top-tier university
– 2+ years of academic experience (research, publication, teaching) or professional experience (engineer, researcher, or technical specialist)
– Deep subject-matter expertise across core areas of mathematics
– Exceptional written and verbal communication skills
– Strong attention to detail and analytical thinking
**Project Timeline**
– Start Date: Immediate
– Duration: 1–2 months
– Commitment: Part-time ~20 hours/week (potential to extend to 40 hours/week)
– Schedule: Fully remote and asynchronous – flexible working hours
**Compensation & Contract**
– Competitive hourly rate based on experience ($70–$90 USD/hr)
– Independent contractor
– Daily payment via Stripe Connect
**Application & Onboarding Process**
– Upload your resume (and portfolio/notebook links if available) and application form
– **AI interview:** A short, 15-minute conversational session to understand your background, experience, and interest in the role
– **Work trial:** A paid, 4-hour assessment evaluating your ability to interpret project guidelines and deliver math-specific output
**About Mercor**
Mercor is a San Francisco-based company specializing in connecting elite professionals with cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across quantitative fields, engineering, research, and creative domains have partnered with Mercor on frontier projects shaping the future of AI.
**Apply today and leverage your math and statistics expertise to help build the future of AI-driven quantitative workflows!**
