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Josh Talks
Josh Talks cover picture
Founded :
2015
Type :
Services
Size :
100-1000
Stage :
Raised funding

About

By giving you access to the right role models, comprehensively informing you about different career choices, equipping you with the right skills to do well in life and standing with you through the entire journey, we are working to create an ecosystem of tools and products that help you unlock your true potential.
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Shruti Garg

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Jobs at Josh Talks

Josh Talks
at Josh Talks
1 video
1 recruiter
Rajat Negi
Posted by Rajat Negi
Gurugram
0 - 2 yrs
₹1L - ₹6L / yr
skill iconMachine Learning (ML)

form :https://forms.gle/ncGqEJrJDvEDhXtL7

AI Researcher, Speech & Audio, Intern -

Internship Opportunity at JoshTalks AI Lab

(ai.joshtalks.com)

Location: Gurgaon, India

Type: Full-time Internship (6–12 months)

Who: Final-year engineering students or recent graduates passionate about AI/ML

in speech


About Us

At JoshTalks AI Lab, we believe that voice will be the primary medium of interaction

between man and machine. Our mission is simple yet ambitious:

● Help machines talk like humans.

● Build the benchmarks and datasets that become the backbone of global

progress in speech AI.

● Drive improvements not just through compute or algorithms — but through

high-quality, diverse, real-world data.


Our datasets today power some of the largest and most widely used speech

models in the world (you’ve definitely used them, even if we can’t name them

😉).


What You’ll Work On

This is not a “just another internship.” You’ll be directly contributing to the global

race to perfect speech AI:

1. Benchmarking the world’s speech models

○ Design and run evaluations for ASR and speech-to-speech systems.


○ Create benchmarks that will guide top AI labs on where their models

fail and where they shine.

2. Modeling & Fine-Tuning

○ Fine-tune speech recognition systems (like Whisper/wav2vec2) to push

Word Error Rates toward ~5%.

○ Experiment with multilingual, code-switched, and noisy speech

to mimic real-world conditions.


3. Impact at Scale

○ Your work won’t just sit in a paper. It will influence how the

world’s largest AI models get built, tested, and improved.


Who We’re Looking For

● Final-year undergraduates (B.Tech/B.E.) in CSE, EE, AI/ML, or related fields.

● Strong interest in speech, audio, NLP, or multimodal AI.

● Hands-on experience in one or more of:

○ Fine-tuning speech or language models (Whisper, wav2vec2,

HuBERT, SER, etc.)

○ Building speech-driven projects (assistants, classifiers, chatbots,

SER systems)

○ Working with PyTorch, TensorFlow, or Hugging Face transformers.

● Bonus: past projects on GitHub, Kaggle, or research papers.


Why Join Us


● Ownership: Even as a final-year student, you’ll get the chance to own

problems of global importance — from reducing ASR word error rates toward

5% to building benchmarks that influence how the next generation of

speech-to-speech models are developed. These are not side projects:

the problems you’ll work on may define how billions of people interact

with machines in the future.

● Front-row seat in speech AI: Your work will shape benchmarks and datasets

used by the world’s top model labs.

● Learning: Work with experts solving speech challenges across 20+

Indian languages and noisy, real-world audio.

● Impactful projects: The benchmarks and models you help build will

set direction for global AI progress.

● Startup energy, global scale: Small team, big impact — perfect for ambitious

builders.

● Co-Authorship: If any of the work you contribute to is published as a paper,

benchmark report, or dataset release, you will be credited as a co-author.

This means your contributions won’t just stay inside the lab — they’ll be

visible to the wider research community and part of the academic and

industry record.


Details

● Location: Gurgaon (on-site preferred for collaboration)

● Duration: 6–12 months

● Type: Paid Internship (full-time)

● Start Date: Flexible for final-year students (aligns with academic calendar)


If you’re someone who dreams of making speech AI as natural as human

conversation, this is your chance to work on the real frontier. Super interested?


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