Technical Advisor Specialist (Part-Time Internship)

<div class="p-pdf_iframe__page" data-page-number="1"> <div class="textLayer"> <div class="p-pdf_iframe__page" data-page-number="1"> <div class="textLayer"> <h3>About the Program</h3> </div> </div> <p>The Scale AI Technical Advisor Specialist (Part-Time Internship) role is a summer semester opportunity designed for university students, ideally with experience in competitive coding, mathematics, and STEM disciplines. These Specialists will immerse themselves in real-world projects that push the boundaries of generative AI, gaining firsthand exposure to cutting-edge research and technology. Throughout the program, you’ll have the freedom to work flexibly around your academic schedule, the chance to connect directly with AI experts, and the support of a team that values your contributions and professional growth.</p> <h3>What You'll Do</h3> <ul> <li>Contribute to Cutting-Edge AI Projects: Work on initiatives aimed at advancing AI&nbsp;capabilities—such as training models for complex reasoning tasks or identifying model&nbsp;failure modes. You’ll gain exposure to state-of-the-art technologies and research,&nbsp;enhancing your technical expertise.</li> <li>Join Focus Groups: Participate in bi-weekly sessions where you’ll exchange insights, discuss evolving AI techniques, and learn from experienced researchers. This forum encourages deep exploration of topics and helps you develop critical thinking and communication skills.</li> <li>Engage in Team-Based Projects: Collaborate with small groups of specialists on creative challenges—ranging from drafting blog-style content to conceptualizing innovative AI solutions. By working closely with peers, you’ll refine your teamwork, leadership, and problem-solving abilities.</li> <li>Work Independently &amp; Flexibly: Set your own working hours, ensuring you can prioritize your academic life while still making meaningful progress. The environment is structured to accommodate your schedule without compromising the quality of your contributions.</li> </ul> <h3>Who Should Apply</h3> <ul> <li>Academic Background: Enrolled students in computer science, mathematics, engineering, or a related STEM field.</li> <li>Technical Skills: Demonstrated coding proficiency, strong analytical abilities, or experience with competitive math or programming competitions.</li> <li>Mindset: Curious, self-motivated, and eager to learn, contribute, and collaborate with like-minded peers and industry experts.</li> </ul> <h3>Why Join Us?</h3> <ul> <li>Real-World Impact: Your work will have tangible influence on the direction of AI&nbsp;capabilities, giving you a sense of purpose and involvement that goes beyond typical internship work.</li> &