Systems Engineering Tutor job opportunity at xAI.

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xAI Systems Engineering Tutor
Experience: General
Pattern: Remote
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Human Data

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.  About the Role xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. As an AI Tutor - Industrial/Systems Engineering specialist, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff  to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Regularly require you to interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a Master's or PhD in Industrial or Systems Engineering, or a highly-related field. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources, databases, and online resources are essential. You display outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. You have a strong passion for and commitment to technological advancements and innovation. Preferred Qualifications Possess a PhD in Industrial or Systems Engineering. Substantial professional experience working on real-world problems in this domain. Possess experience with at least one publication in a reputable journal or outlet. Has previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). You possess experience in technical writing, journalism, or a professional writing setting. Professional background as an industrial or systems engineer. Location, Hourly, and Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. Compensation $45/hour - $75/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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