Applied AI Intern (Voice)

Razer is hiring an Applied AI Intern (Voice) in Singapore, Singapore. Level rates it ; you can apply on Razer.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
Tools and skills the posting cites include NLP and speech.
Level classifies it as an internship.
Level lists 148 other open roles at Razer.

AI in this role

nlpspeech

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?

How we rate this

Applied AI Intern (Voice) at Razer rates 87 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Applied AI Intern (Voice) is an open job at Razer.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Singapore.
The job was posted on September 29, 2026.
Seniority: intern.
Applications are handled by Razer. Apply on Razer

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPSpeech

Questions you could be asked

What NLP problem have you worked on, and how did you measure whether it actually worked?
What have you built with speech recognition or text-to-speech, and where did it break?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: NLP and Speech. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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