Technical Advisor Intern - GenAI

Posted 2 Days Ago
Be an Early Applicant
San Francisco, CA
Internship
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
Interns will contribute to AI projects, participate in focus groups, engage in team-based challenges, and work independently while balancing academic commitments. They'll gain technical expertise, critical thinking, and collaboration skills throughout the internship.
Summary Generated by Built In

About the Program

The Scale AI Technical Advisor Internship is a semester-long opportunity designed for university students, ideally with experience in competitive coding, mathematics, and STEM disciplines. Interns 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 interns 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 elationships with fellow interns, 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 interns may be invited to continue working with Scale AI in extended roles or full-time positions. Alumni networks and ongoing support keep doors open for future collaborations and career advancement.

Compensation:

  • $50/hour; 5-20 hours a week, fully remote and flexible

PLEASE NOTE: 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.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Top Skills

AI
Programming
The Company
San Francisco, CA
523 Employees
On-site Workplace
Year Founded: 2016

What We Do

Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.

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