The ideal candidate will have 3+ years of experience with LO aircraft, proficient knowledge of LO design, analysis, and validation methodologies, experience with RCS analysis tools such as X-Patch, SENTRi, McMoM2D, FEKO, HFSS, CST or other company specific Computational ElectroMagnetics (CEM) analysis packages, familiarity with how to model and design with LO materials, experience with LO airframe design, LO coating integration, and subsystem integrations, experience with CAD software packages such as NX, CATIA, experience with various manufacturing methods such as composites, 3D printing, casting, injection molding, etc.), experience with Indoor and/or outdoor RCS testing of LO component and/or air vehicles, and a BS or higher degree in a STEM discipline.

US Salary Range $129,000-$171,000 USD

XML job scraping automation by YubHub

The 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.

What You'll Do

• Contribute to Cutting-Edge AI Projects: Work on initiatives aimed at advancing AI capabilities,such as training models for complex reasoning tasks or identifying model failure modes.

You’ll gain exposure to state-of-the-art technologies and research, enhancing your technical expertise.

• 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.

• 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.

• Work Independently & 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.

Who Should Apply

• Academic Background: Enrolled students in computer science, mathematics, engineering, or a related STEM field.

• Technical Skills: Demonstrated coding proficiency, strong analytical abilities, or experience with competitive math or programming competitions.

• Mindset: Curious, self-motivated, and eager to learn, contribute, and collaborate with like-minded peers and industry experts.

Why Join Us?

• Real-World Impact: Your work will have tangible influence on the direction of AI capabilities, giving you a sense of purpose and involvement that goes beyond typical internship work.

• Professional Growth & Networking: Connect one-on-one with AI professionals, build relationships with fellow specialists, and expand your industry network.

• Optional In-Person Meetups: Opt to join occasional regional gatherings to meet peers and Scale AI personnel face-to-face.

These events provide opportunities for more personal interactions, fostering deeper connections and insights that complement your remote work.

• Pathways to the Future: Exceptional specialists may be invited to continue working with Scale AI.

Alumni networks and ongoing support keep doors open for future collaborations and career advancement.

• Compensation & Flexibility: $50/hour; 5-20 hours a week, and fully remote (within the U.S.)

Notes

Our policy requires a 90-day waiting period before reconsidering candidates for the same role.

This allows us to ensure a fair and thorough evaluation of all applicants.

XML job scraping automation by YubHub