About the role
About the Opportunity
A fast-growing AI innovation lab focused on next-gen voice and speech intelligence, we build and evaluate cutting-edge Large Language Models (LLMs) for real-world conversational AI applications. Our work spans multilingual voice agents, prosody modeling, and context-aware synthesis—serving global clients across fintech, healthcare, and telco sectors. We move fast, validate rigorously, and ship voice experiences that sound human, behave intelligently, and scale reliably.
Role & Responsibilities
- Evaluate and benchmark LLM-driven speech outputs across fluency, naturalness, emotional tone, and contextual accuracy using standardized metrics and custom rubrics.
- Design and run A/B tests for voice models across accents, registers, and cultural contexts to improve perceived quality and user trust.
- Annotate, transcribe, and label voice datasets for training and evaluation—focusing on turn-taking, intent alignment, and paralinguistic features.
- Collaborate with ML engineers to translate evaluation insights into fine-tuning signals and data augmentation strategies.
- Document voice quality trends, failure modes, and improvement pathways in structured reports for cross-functional review.
- Stay current with research in speech AI, prosody, and LLM evaluation—applying new methods like pairwise preference ranking or automated metrics (e.g., MOS, WER, CER).
Skills & Qualifications
- Must-Have
- Python
- Speech-to-Text
- Text-to-Speech
- Speech Evaluation Metrics
- LLM Evaluation
- Audio Annotation Tools
- Conversational AI
- Multilingual Speech
- Preferred
- Prosody Analysis
- Paralinguistic Features
- Voice UX Design
Benefits & Culture Highlights
- Work on bleeding-edge voice AI projects with global impact.
- Collaborative, research-driven culture with access to top-tier LLM tooling.
- On-site innovation lab environment in India with flexible hours and peer learning.