Data Annotation - Fresh Grad - AI Native Games

TDCX; Kuala Lumpur; On-site; MYR 100,000 - 150,000; Full time

Job summary

A leading BPO company in Kuala Lumpur is seeking an AI Trainer to help train large language models for AI-native games. The role focuses on annotating game content, ensuring data accuracy, and collaborating with teams on innovative model development. Ideal candidates are fresh graduates with a passion for gaming and a good command of English. This opportunity offers a supportive environment to grow your career in the exciting field of AI and gaming.

Benefits

Attractive remuneration and performance incentives

Comprehensive medical coverage

Flexible working arrangements

Opportunities for career growth

Qualifications

• Fresh graduates are welcome to apply for this position.
• Candidates should have a strong command of the English language (C1 and above).
• Previous experience with AI models is beneficial.

Responsibilities

• Annotate and evaluate game content for AI-native games.
• Ensure accuracy and consistency in data to enhance user experience.
• Collaborate with research and product teams on model development.

Skills

Passion for gaming

Data analysis

Collaboration

Education

Computer Science or related fields

Cognitive Science

Data Science

Job description

Data Annotation - Fresh Grad - AI Native Games

Do you aspire for a rewarding career that lets you do more and achieve more? Unleash your full potential at work with TDCX, an award-winning and fast-growing BPO company.

Work with the world's most loved brands and be with awesome, diverse people. Be home, belong, and start your journey to #BeMore!

Top Reasons to work with TDCX

• Attractive remuneration with night shift allowance, great perks, and performance incentives
• Comprehensive medical, insurance, or social security coverage
• World‑class workspaces
• Engaging activities and recognition programs
• Strong learning and development plans for your career growth
• Positive culture for you to #BeMore at work
• Easy to locate area with direct access to public transport
• Flexible working arrangements
• Be coached and mentored by experts in your field
• Join a global company, winner of hundreds of industry awards

What is your mission?

As an AI Trainer you will play a key part in training large language models that power our AI-native games. Your contributions will fine‑tune our models’ performance across several departments (with a specific focus on emotional intelligence and logic), helping to create an immersive user experience within our fictional worlds.

There are 4 main areas: LLM, Creative Content Writer, Audio, Video.

• Annotate game content such as dialogues, quests, character interactions, scripts, and TTS (text to speech), action/movement, dialog, facial expressions, and more.
• Ensure accuracy and consistency in the data to optimize players’ gaming experience.
• Create in-depth world building, comprehensive characters, mini-plots, personality profiles, and other relevant details.
• Annotate and evaluate model responses against our internal language & logic rubrics in an effort to improve dialogue and overall interactions to achieve the best user experience possible.
• Collaborate with our research and product teams to develop state‑of‑the‑art large language models and audio and video generation technologies.

Who are we looking for?

• Computer Science / Software Engineering / Artificial Intelligence / Machine Learning / Information Systems / Data Engineering
• Data Science / Statistics / Applied Mathematics
• Cognitive Science / Psychology (language & cognition focus)
• Electrical & Computer Engineering
• Philosophy / Law / Social Sciences
• Education / Instructional Design
• Economics / Operations Research
• Political Science / International Relations
• Public Policy / Governance
• Sociology / Anthropology
• Position is open to fresh graduates.
• Have a passion for gaming, especially those experienced in narrative-driven or role-playing games.
• Language requirement: C1 & above (TDCX English Assessment)
• Nice to have: Previous experience working with AI models (including RLHF, editing, evaluating, and auditing AI data).
• Nice to have: Previous experience working with data (including data analysis, data manipulation, data reporting).