As a Technical Advisor Specialist in this part-time internship, you'll play an active role in advancing real-world AI initiatives. If you're currently pursuing a degree in computer science, mathematics, engineering, or another STEM discipline, this position offers hands-on experience with generative AI systems, model evaluation, and detecting performance gaps in machine learning models.
What You’ll Do
- Support the development of AI models focused on complex reasoning and problem-solving tasks.
- Help identify weaknesses in model behavior and contribute to strategies that improve system reliability.
- Engage in bi-weekly discussions with peers and technical mentors to share findings and explore new methodologies.
- Collaborate in small teams to tackle conceptual challenges, from generating accessible technical content to prototyping novel AI approaches.
- Develop communication, critical analysis, and teamwork skills through guided projects and feedback loops.
- Work remotely on a flexible schedule, allowing you to balance coursework and internship responsibilities effectively.
Who Should Apply
You're currently enrolled in a university program in a STEM-related field. Strong candidates will demonstrate coding experience, logical reasoning skills, or participation in programming or mathematics competitions. Familiarity with software development or algorithmic thinking is highly valued.
What’s Offered
- Compensation at $50 per hour for 5–20 hours weekly, based on your availability.
- Fully remote work within the U.S., with full control over your weekly schedule.
- Direct engagement with AI professionals through one-on-one interactions and group sessions.
- Opportunities to attend optional regional in-person events to connect with peers and technical leaders.
- Access to alumni networks and continued collaboration pathways for high-performing participants.
- Support for applicants requiring accommodations, in compliance with equal opportunity and pay transparency standards.
Inclusion and Accessibility
This role is open to all students regardless of race, religion, gender identity, national origin, disability status, or background. We encourage applications from individuals of all identities and experiences, and are dedicated to providing equitable access through reasonable accommodations during the application and onboarding process.
