AI Software Intern

Company: Hello Recruiter

Duration: 6 Months

Type: Full-Time Internship (40 hours/week)

Compensation: ₹15,000/month (paid internship)

Location: Remote (open to candidates based in India)

Company Description

Hello Recruiter is building an AI-powered recruiting platform designed to automate and optimize every stage of hiring. Our system leverages modern AI technologies to help organizations evaluate candidates more efficiently, reduce hiring costs, and improve decision-making.

Role Description

We are looking for an AI Software Intern based in India who is curious about how modern AI systems and agents work, and eager to learn how to evaluate, test, and improve them in real-world scenarios.

This is a hands-on, learning-focused role with mentorship, where you will work on testing and validating AI systems that process text, files, voice, and video inputs.

Key Responsibilities

• Execute test plans for AI systems powered by Large Language Models (LLMs)
• Test across multiple input types: text, documents, structured data, and voice
• Build and maintain test cases, evaluation datasets, and benchmark scenarios
• Evaluate outputs for accuracy, latency, hallucination, and reliability
• Identify edge cases, failure modes, and unexpected behaviors
• Document findings clearly, including reproducible test cases
• Collaborate with engineering teams to validate fixes
• Assist in improving evaluation workflows and QA processes

Required Qualifications

• Final semester student or recent graduate (Computer Science, IT, or related field)
• Strong interest in AI, Generative AI, and LLM-based systems
• Basic proficiency in Python
• Familiarity with APIs and software testing concepts
• Strong analytical and problem-solving skills
• Good written communication and documentation ability

What You'll Gain

• Hands-on experience with production-grade AI systems
• Exposure to multimodal AI (text, voice, and data workflows)
• Practical experience in AI evaluation and testing methodologies
• Mentorship and structured learning in modern AI systems

For any questions

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