AI Researcher Intern /Part-Time/ Remote/

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(👉 https://platform.intervai.net/application/55eefb11-bc77-4d38-8e60-ba5c23e751f7 )

IntervAI is an early-stage B2B SaaS startup based in Vienna, building an AI-powered recruitment platform that automates early-stage candidate screening and structured interview evaluations. We help companies reach 3× more candidates, 5× faster — while reducing bias and hiring cost.

We’re now looking for a highly motivated AI Research Intern to join our team and help us shape the future of intelligent hiring.

Tasks

🌱 What You’ll Work On

You will directly contribute to core AI processes in our product:

• Resume evaluation & gap analysis
• AI-conducted interviews (text-based)
• Post-interview scoring & feedback generation

We are deeply integrated with large language models (LLMs), and you’ll explore areas like:

• Prompt design and optimization
• Finetuning or adapting open-source models for specific tasks
• Designing evaluation rubrics
• Benchmarking models (OpenAI, Claude, Mistral, etc.)
• Exploring agent-based orchestration with Langchain or similar tools

This is not a theoretical internship. You’ll contribute real research, produce documentation, and shape decisions for an actual product in use by real recruiters and candidates.

Requirements

🔍 Who We’re Looking For

• You’re a student or recent graduate in Computer Science, AI, Data Science, or similar
• You’ve worked with or studied LLMs and NLP systems before
• You’re curious, self-driven, and excited about AI applications in the real world
• Strong written communication skills (in English) – you’ll document findings clearly
• Experience with OpenAI, HuggingFace, Langchain or similar tools is a plus
• Interest in HR tech and responsible AI is a bonus

Benefits

🕓 Time Commitment

• ~10–15 hours per week
• 100% remote, or hybrid if you’re based in Vienna
• Internship duration: 12 weeks, with potential for extension

🤝 How We Work

• You’ll report to our Head of Development (and be directly supported by our CEO
• Weekly syncs + short Sunday demos to the team
• Slack-based communication, async-friendly
• A strong emphasis on learning and contribution: we want you to grow while making real impact

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