Applied AI Intern (Voice)
Razer Open · verified Oct 22, 2026 At a glance
Junior AI Engineering role at Razer. Singapore · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Benchmark voice AI models, prompts and pipelines against curated datasets to assess their performance
- Build experiments that track voice interaction quality, response speed and reliability
- Investigate errors and edge cases to find where voice systems fail and what could be optimized
- Create reusable evaluation tools and automation, then document findings as recommendations for model and pipeline changes
- Research new AI, generative AI and voice technologies for possible use in the work
What you bring
- You understand core AI and machine-learning ideas, including evaluation measures, experiments and model comparisons
- You have exposure to NLP, speech or voice AI, generative AI, or a related area
- You are a strong Python and SQL programmer
- You bring analytical problem-solving skills, clear communication and an openness to learning from feedback
Who this fits
This junior internship suits someone keen to evaluate voice AI and turn experiments into practical improvements alongside AI and software engineers. The role is based in Singapore.
From the employer
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities :
Applied AI Intern to support AVA Voice AI, focusing on evaluating and improving voice interaction quality, latency and reliability. Intern will work with AI and Software Engineers to benchmark models, investigate failure modes, and help translate experimentation into production-ready improvements.Job Scope
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
Candidate Requirements
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
Pre-Requisites :
Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.
Are you game?