Mechanical Engineering Tutor

Details

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. The organization is small, highly motivated, and focused on engineering excellence. Staff are expected to be hands-on, contribute directly to the mission, demonstrate initiative, strong prioritization, and clear communication.

Role overview

As an AI Tutor - Mechanical Engineering specialist, you will provide high-quality input and labels using proprietary software to support training of new AI tasks. You will collaborate closely with technical staff to improve annotation tools, curate high-quality data, select complex problems where your expertise can improve model performance, and interpret and execute evolving instructions in a fast-paced environment.

Responsibilities

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Contribute to the training of new tasks and work closely with technical staff on development and implementation of initiatives/technologies.
• Interact with technical staff to help improve the design of efficient annotation tools.
• Interpret, analyze, and execute tasks based on given instructions.

Requirements

Basic qualifications

• Master’s or PhD in Mechanical Engineering or a highly-related field.
• Proficiency in reading and writing informal and professional English.
• Strong ability to navigate information resources, databases, and online resources.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension and capacity to exercise autonomous judgment with limited data/material.
• Strong passion for and commitment to technological advancements and innovation.

Preferred skills and experience

• PhD in Mechanical Engineering.
• Substantial professional experience solving real-world mechanical engineering problems.
• At least one publication in a reputable journal or outlet.
• Previous AI Tutoring experience.
• Teaching experience (professor, teacher, or tutor).
• Experience in technical writing, journalism, or a professional writing setting.
• Professional background as a mechanical engineer.

Location and other expectations

• Tutor roles may be full-time, part-time, or contractor positions depending on role needs and candidate fit.
• Contractor hours vary by project scope and availability; on average many projects may involve at least 10 hours per week to achieve deliverables, but this is not a fixed commitment.
• Roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. (For US-based candidates, xAI is unable to hire in the states of Wyoming and Illinois.)
• xAI is unable to provide visa sponsorship.
• For those working from a personal device, acceptable computers include a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and benefits

• US-based candidates: $45/hour - $75/hour depending on experience, skills, education, geographic location, and qualifications. International candidate compensation information will be provided during recruitment.
• Benefits vary by employment type, location, and jurisdiction. For eligible U.S. positions, benefits may include health insurance, 401(k), and paid sick leave. Specific details provided during the interview process.