Application Guide

How to Apply for AI Researcher

at Humeai

🏢 About Humeai

Hume AI is a Series B startup uniquely focused on building AI optimized for human well-being through emotional intelligence. Their speech-language models (Octave and EVI) are specifically designed to understand and generate nuanced human expression, rated higher than competitors on empathy and naturalness. Working here means contributing to AI that's guided by human values rather than just technical benchmarks.

About This Role

As an AI Researcher at Hume AI, you'll work on advancing their state-of-the-art speech-language models using their proprietary RLHE (reinforcement learning from human expression) training method. You'll contribute to making SLMs more helpful, interesting, and empathetic by learning from millions of audio/video recordings of human behavior. This role directly impacts their mission to ensure AI serves human emotional well-being.

💡 A Day in the Life

A typical day involves collaborating with the research team on improving SLMs using RLHE, analyzing model performance on emotional expression metrics, and working with large-scale audio/video datasets to better capture human preferences. You'll balance theoretical research with practical implementation for their Octave and EVI models, often discussing how to translate emotional intelligence research into model improvements.

🚀 Application Tools

Generate Cover Letter

AI-powered, tailored for Humeai

Interview Prep

Practice questions for this role

🎯 Who Humeai Is Looking For

  • Strong background in speech-language models, reinforcement learning, or multimodal AI with publications or significant project experience
  • Experience working with large-scale audio/video datasets and human preference modeling
  • Passion for AI ethics and alignment with human values, specifically emotional intelligence in AI systems
  • Ability to work on cutting-edge research that bridges technical innovation with psychological/emotional understanding

📝 Tips for Applying to Humeai

1

Demonstrate specific experience with speech-language models or audio processing in your resume - highlight projects involving voice, emotion, or conversational AI

2

Try their demo models at hume.ai and reference specific observations about their emotional intelligence capabilities in your application

3

Research their RLHE method and propose how you might extend or improve it in your cover letter

4

Show understanding of their unique positioning at the intersection of AI and emotional intelligence - avoid generic AI research applications

5

Highlight any experience with human-AI interaction studies or preference learning from behavioral data

✉️ What to Emphasize in Your Cover Letter

['Your specific interest in their mission to build AI optimized for human well-being and emotional intelligence', 'How your research background aligns with their focus on speech-language models and human expression analysis', "Concrete ideas for advancing their RLHE method or improving their models' emotional understanding", "Why you're drawn to their specific approach versus other AI research positions"]

Generate Cover Letter →

🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Try all their demo models at hume.ai and understand their unique emotional intelligence capabilities
  • → Study their research publications and blog posts about RLHE and emotional AI
  • → Understand their product ecosystem (Octave, EVI) and how researchers contribute to both research and product development
  • → Research their leadership team's background in both AI and psychology/neuroscience

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Deep dive into your experience with speech-language models or audio processing pipelines
2 Technical questions about reinforcement learning from human feedback/preferences (RLHF/RLHE)
3 Discussion of their demo models and your thoughts on emotional intelligence in AI systems
4 How you would approach improving their models' empathy, expressiveness, or naturalness metrics
5 Your perspective on ethical AI development and aligning models with human values
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Applying with generic AI research experience without highlighting speech/audio/emotional intelligence aspects
  • Focusing only on technical benchmarks without discussing human-centered AI or emotional understanding
  • Not demonstrating familiarity with their specific models or RLHE approach in your application

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Humeai!

← Back to Job Listing Apply Now →