Voice AI Intern - Benchmarking & Evaluation

Razer; Singapore; On-site; SGD 13,000 - 27,000; Full time

Job summary

Razer is seeking an Applied AI Intern to support AVA Voice AI, focusing on evaluating and improving voice interaction quality, latency and reliability. The intern will collaborate with AI and Software Engineers to benchmark models and translate experiments into production-ready improvements.

The role includes offline evaluation, tool development, and documentation of findings. Proficiency in Python and SQL, exposure to NLP or voice AI, and knowledge of Docker/Kubernetes are valued in a

Qualifications

• Understanding of core AI/ML concepts, including evaluation metrics, experimentation, and model benchmarking
• Exposure to NLP, speech/voice AI, generative AI, or related fields
• Strong programming skills in Python and SQL
• Experience with backend application development using NodeJS or FastAPI is a plus
• Knowledge of cloud technologies and containerization tools such as Docker or Kubernetes is a plus
• Strong analytical and structured problem-solving skills, with curiosity and willingness to question assumptions
• Excellent written and verbal communication skills
• Ability to work effectively in a fast-paced, agile environment and learn through feedback

Responsibilities

• Support offline evaluation and benchmarking of voice AI models, prompts, and pipelines using curated datasets
• Implement experimentation workflows to measure quality, latency, reliability, and model performance
• Conduct error analysis and edge-case investigations to identify failure modes and optimization opportunities
• Develop reusable evaluation tools, benchmarking utilities, and automation to improve evaluation efficiency
• Document evaluation findings and translate results into actionable recommendations for model and pipeline improvements
• Conduct research on emerging AI, GenAI, and voice AI technologies to identify potential opportunities for adoption

Skills

Python

SQL

NodeJS

FastAPI

Docker

Kubernetes

NLP

Voice AI

Evaluation metrics

Analytical thinking

Tools

Docker

Kubernetes

Job description

Razer is seeking an Applied AI Intern to support AVA Voice AI, focusing on evaluating and improving voice interaction quality, latency and reliability. The intern will collaborate with AI and Software Engineers to benchmark models and translate experiments into production-ready improvements.

The role includes offline evaluation, tool development, and documentation of findings. Proficiency in Python and SQL, exposure to NLP or voice AI, and knowledge of Docker/Kubernetes are valued in a