Location
Meerut, Uttar Pradesh
Work Mode
Hybrid
Duration
3 months
Stipend
₹39,000/mo
Start Date
Immediate / Rolling
Openings
2 positions
Type
Full-time
Category
Artificial Intelligence
About the Internship
Join Freo in Meerut as an AI Safety & Alignment Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on AI safety, alignment and evaluation work.
About the role
As an AI Safety & Alignment Intern at Freo…
About Freo
Freo offers a mentor-led AI Safety & Alignment Intern in Meerut with live project work in artificial intelligence, a stipend of ₹39,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Freointernships →Meerut, Uttar PradeshVerified employer2 openings
Apply to Freo →Skills Required
Guardrails & Content FilteringRLHF (Reinforcement Learning from Human Feedback)Red TeamingBias & Fairness AuditingModel Evaluation HarnessesPrompt Injection TestingPythonResponsible AI FrameworksPolicy & DocumentationStatistical Analysis
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (CSE/AI-ML), M.Tech, M.Sc (CS / Cognitive Science) or Ph.D. scholars who are based in or willing to work from Meerut. You should be keen to learn Guardrails & Content Filtering, RLHF (Reinforcement Learning from Human Feedback), Red Teaming on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.
Perks
Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Practical assignment or case study with a short walkthrough
- 3Discussion with the hiring manager on the role and your fit
- 4HR discussion — stipend, start date, expectations and offer
₹39,000/month
Stipend · 3 months
Openings2 positions
Applicants0 applied
ModeHybrid
CategoryArtificial Intelligence
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