Technical Advisor Specialist

About the role

The is a part-time summer semester opportunity designed for university students, ideally with experience in competitive coding, mathematics, and STEM disciplines. You will immerse yourself in real-world projects that push the boundaries of generative AI, gaining firsthand exposure to cutting-edge research and technology. Throughout the program, you will have the freedom to work flexibly around your academic schedule while contributing to high-impact initiatives. You will connect directly with AI experts and receive support from a team that values your contributions and professional growth. This role empowers you to shape the future of AI systems through focused, independent, and collaborative work.

Key facts

What you'll do

Contribute to Cutting-Edge AI Projects by working on initiatives aimed at advancing AI capabilities, such as training models for complex reasoning tasks or identifying model failure modes, which will expose you to state-of-the-art technologies and research while enhancing your technical expertise.

Join Focus Groups on a bi-weekly basis to exchange insights, discuss evolving AI techniques, and learn from experienced researchers, fostering critical thinking and communication skills through structured dialogue and collaborative exploration.

Engage in Team-Based Projects with small groups of specialists on creative challenges, ranging from drafting blog-style content to conceptualizing innovative AI solutions, thereby refining your teamwork, leadership, and problem-solving abilities through close peer collaboration.

Work Independently and Flexibly by setting your own working hours to ensure you can prioritize your academic life while still making meaningful progress, within a structured environment that accommodates your schedule without compromising the quality of your contributions.

Support Model Training and Evaluation efforts focused on complex reasoning tasks, applying analytical skills to assess model outputs and identify potential failure modes that could impact real-world deployment.

Participate in Research-Driven Discussions during focus groups, where you will explore emerging AI techniques and evaluate their implications for future system development and application.

Collaborate on Content Creation initiatives, producing clear and insightful documentation or blog-style materials that explain technical concepts to broader audiences and support knowledge sharing.

Conduct Independent Analysis of AI behaviors, leveraging your coding proficiency and mathematical reasoning to test hypotheses and validate model performance under varied conditions.

Assist in the Development of Innovative AI Solutions by brainstorming and prototyping concepts with team members, translating theoretical ideas into practical experiments and use cases.

Build Professional Relationships by connecting one-on-one with AI professionals and specialists, expanding your industry network through mentorship, feedback, and shared learning experiences.

Opt into Optional In-Person Meetups on a regional basis to meet peers and Scale AI personnel face-to-face, fostering deeper connections and insights that complement your remote work and collaborative growth.

Access Pathways to Future Opportunities by demonstrating exceptional performance, which may lead to continued collaboration with Scale AI and integration into alumni networks that support long-term career advancement.

Engage in Continuous Learning through structured projects and open-ended challenges that strengthen your technical toolkit, communication skills, and ability to work effectively in dynamic, research-focused environments.

Maintain Academic Flexibility by aligning your project contributions with your course schedule, ensuring that you can uphold academic commitments while delivering high-quality work in a professional context.

Requirements

Academic Background must be currently enrolled in computer science, mathematics, engineering, or a related STEM field, providing a foundational understanding of technical concepts relevant to AI development.

Technical Skills must include demonstrated coding proficiency, strong analytical abilities, or experience with competitive math or programming competitions, ensuring readiness to tackle complex algorithmic challenges.

Mindset must be curious, self-motivated, and eager to learn, contribute, and collaborate with like-minded peers and industry experts, fostering a productive and growth-oriented environment.

Eligibility requires commitment to a structured internship framework spanning a summer semester, with consistent engagement in project work and collaborative activities.

Communication Skills must support clear articulation of ideas during focus groups, team projects, and professional interactions with peers and experts.

Problem-Solving Ability must be evident through analytical thinking and logical reasoning, particularly in the context of AI model behavior and system performance evaluation.

Time Management must align with the flexibility of remote, part-time work, allowing you to balance academic responsibilities with project deliverables effectively.

Nice to have

Preferred experience in competitive math or programming competitions that demonstrates advanced problem-solving capabilities under time constraints.

Familiarity with modern AI research concepts and terminology to accelerate contribution to ongoing projects and discussions.

Practical notes

This is a part-time internship with a commitment of 5-20 hours per week during the summer semester.

The role is fully remote, provided within the United States, with optional in-person meetups at regional intervals.

A 90-day waiting period applies before reconsiderating candidates for the same role, as required by company policy.