Mu Sigma

AI Safety Intern

InternshipHybridGwalior, Madhya Pradesh6 months20K/mo12 openingsImmediate / Rolling

About this internship

Mu Sigma is hiring an AI Safety Intern in Gwalior — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to AI safety and red-teaming rather than a certificate-only programme. About the role As an AI Safety Intern at Mu Sigma, your core focus will be trying…

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Skills you'll use

LLM Red-teamingPrompt InjectionContent PolicyEvaluation DesignPythonRisk AnalysisAdversarial TestingDocumentationCritical ReadingReporting

What you'll do

Work on trying to make the system behave badly on purpose, then documenting exactly how you did it alongside the core team
Apply LLM Red-teaming, Prompt Injection, Content Policy, Evaluation Design to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT)
Graduating batch 2025, 2026 or 2027 — final-year students and recent graduates welcome
60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
Working knowledge of LLM Red-teaming, Prompt Injection, Content Policy (or a genuine willingness to learn them)
Exposure to Evaluation Design, Python, Risk Analysis is an advantage
Clear written and verbal communication in English, and care with detail in your work
No prior work experience required — this is a fresher-friendly internship
Based in Gwalior, Madhya Pradesh or willing to work from there for the internship period

Perks & benefits

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsStructured onboarding and a formal mentor at a large, established employer

Interview & selection process

4 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Team-fit / behavioural interview with the team
3Online aptitude / domain assessment
4HR discussion — stipend, start date, expectations and offer

About Mu Sigma

Mu Sigma operates in the analytics consulting sector and has an active presence in Gwalior. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a…

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