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Voice AI Engineer
🌐 Volunteer Opportunity: Voice AI Engineer @ CogniX
Creating accessible mental healthcare solutions across Africa
CogniX leverages innovative technology to deliver affordable, culturally sensitive mental healthcare to underserved communities. While Africa faces a growing shortages of mental health professionals alongside persistent stigma, our mobile-first platform—Beyond Self—bridges this gap by providing real-time teletherapy, AI-driven recommendations, and holistic digital therapy tools (including VR/AR experiences) to millions.
About the Role
We’re looking for a passionate Voltunteer Voice AI Engineer to design and develop a real-time, voice-first conversational AI system for mental health support. Collaborate with an inventive startup tackling mental health crises in Africa:
- Balances low-latency speech processing with emotional empathy in responses
- Integrates our platform’s telehealth telephony stack with natural language semantics
- Optimizes coltops edges to scale globally
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Key Responsibilities
-
Build the voice backend stack:
- Architecture FastAPI WebSocket-based servers for low-latency audio streaming
- Benchmark and integrate region-specific Speech-to-Text engines (Whisper, Deepgram, Vosk) for diverse accents
- Deploy real-time Voice Activity Detection (VAD) using PyAudio/LIBROSA or WebRTC
-
Text-to-Speech synthesis:
- Benchmark and deploy TTS uplades (ElevenLabs, Coqui, Google TTS) for tone-sensitive responses
-
Large Language Model fine-tuning:
- Train LoRA/PEFT-integrated LLMs via HuggingFace
- Develop contextual Depression RAG pipelines using LangChain + Vector DBs (Chroma/Milvus)
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Robust deployments:
- Package secure APIs in Docker containers with JWT auth + rate limiting
- Track performance and generate logs for debugging
Requirements
Technical Knowledge)
- Fluent in Python (advanced)
- Expertise in Hugging Face (transformers/PEFT)
- Hands-on with FastAPI, LangChain, and WebRTC framework
- Experience integrating STT engines + TTS APIs
- Containerized apps using Docker, CI/CD pipelines, Git workflows
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Qualities
- Keen interest in ethical AI for mental health
- Focus on microsecond-level latency optimizations
- Ability to own end-to-end voice-processing pipelines
Why Join CogniX?
✅ Impact-first role—scale telehealth in underserved regions ✅ Cutting-edge tech stack—work with LLM-lit conversational agents ✅ Mentorship, recognition, and credible references (for career growth) ✅ Fully remote—6+ hour time commitment monthly
How to Apply
Submit:
- Full [Resume/LinkedIn]
- GitHub portfolio (voice AI or LLM projects preferred)
- (Optional) Statement on ethical Voice AI in mental healthcare
🗓 Duration: Months-long block (10+ hrs/week, unpaid)
#MentalHealthTech #VolunteerInnovation
If you care—apply now! MongoCX.com 🌱
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