Technical Advisor Specialist (Part-Time Internship)

San Francisco, CAinternshipRemote

entry

$104k

H1B: yes

Scaleai Technical Advisor Specialist internship for university students to contribute to generative AI projects and gain exposure to cutting-edge research. Flexible part-time role with opportunities to collaborate and develop technical expertise.

Responsibilities

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.

Qualification

Enrolled students in computer scienceDemonstrated coding proficiencyCurious

Required

Enrolled students in computer science, mathematics, engineering, or a related STEM field.
Demonstrated coding proficiency, strong analytical abilities, or experience with competitive math or programming competitions.
Curious, self-motivated, and eager to learn, contribute, and collaborate.

Company

Scaleai

View company page

Source: greenhouse

Active within the past hour

Remote-friendly

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Enrolled students in computer scienceDemonstrated coding proficiencyCurious

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