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Role Description
Mercor is partnering with a leading AI research organization to engage Civil and Environmental Engineering professionals in a full-time, high-impact project focused on training and advancing frontier AI systems. This role offers a unique opportunity to apply your technical expertise toward developing models that can reason through complex engineering problems with accuracy and depth.
As a full-time AI Tutor – Civil and Environmental Engineering Specialist, you will collaborate with technical and research teams to provide expert annotations, feedback, and high-quality input that shape the next generation of intelligent technologies. You’ll refine data workflows, guide AI task development, and ensure engineering knowledge is represented with precision and integrity. This position is ideal for professionals eager to merge their engineering background with cutting-edge AI innovation in a collaborative, research-driven environment.
Qualifications
- Master’s degree or PhD in Civil or Environmental Engineering, or a closely related discipline.
- Exceptional written and verbal English communication skills.
- Strong analytical, organizational, and research abilities.
- Ability to work independently and exercise sound professional judgment on complex engineering problems.
- Proven ability to navigate and interpret technical literature, databases, and engineering standards.
- Passion for innovation, technology, and AI development.
Requirements
- Use proprietary tools to label, evaluate, and provide expert feedback on AI-generated outputs related to civil and environmental engineering.
- Collaborate with technical staff to improve the design and efficiency of annotation workflows and tools.
- Support the development and training of new AI tasks by applying deep domain expertise.
- Analyze and interpret evolving task instructions to ensure consistent, high-quality results.
- Contribute to the creation of curated datasets that strengthen AI understanding of engineering systems and solutions.
Benefits
- Competitive full-time compensation: $45–$100 per hour, based on experience, education, and location.
- International pay ranges available upon request.
- Regular payments issued for completed work.
Work Environment
- Full-time role available in-person in Palo Alto, CA, or fully remote.
- In-office positions require presence 5 days per week; remote professionals should demonstrate strong self-motivation and focus.
- Standard hours: 9:00 AM–5:30 PM PST for the first two weeks, then adjusted to your local timezone.
- U.S.-based applicants must reside outside Wyoming and Illinois.
- Requires a Chromebook, Mac (macOS 11+), or Windows 10+ device and a reliable smartphone.
- Visa sponsorship is not available.
Application Process
- Submit your resume to begin your application.
- Selected candidates will complete a short evaluation exercise.
- Final interviews will assess technical expertise, attention to detail, and communication skills.
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