Position Summary
The Data Annotator (Audio AI Training) supports the improvement of large language models used in AI-native, narrative-driven gaming experiences. This role focuses on annotating game content (dialogue, quests, character interactions) and evaluating model outputs using internal language and logic rubrics to improve overall user experience, with an emphasis on emotional intelligence and logical consistency.
Job Details
- Work Location: On-site, Bacoor, Cavite
- Schedule: Monday to Friday | 8:00 AM to 5:00 PM
- Holidays: Following Philippine Holidays
- Work Arrangement: On-site only
Responsibilities
- Annotate game content including dialogues, quests, and character interactions based on project guidelines and annotation rules.
- Ensure accuracy and consistency of annotations to support high-quality model training and a better player experience.
- Evaluate model responses against internal language and logic rubrics, focusing on coherence, correctness, and overall conversational quality.
- Apply strong comprehension and analytical thinking to interpret requirements, follow rules precisely, and make consistent judgment calls.
- Collaborate with stakeholders to support the development of large language models and audio/video generation technologies through high-quality human feedback.
Qualifications
- Good communication skills.
- Strong reading comprehension with good logical and analytical thinking; ability to understand and apply guidelines consistently.
- Background (degree and/or experience) in any of the following fields:
- Writing / Storytelling / Copywriting
- Technical Writing
- STEM
- Data disciplines (data analysis/manipulation/reporting)
- Psychology
- Philosophy
- Passion for gaming, especially narrative-driven or role-playing games.
- Students are welcome to apply.
Nice to Have's
- Prior experience working with AI models (e.g., RLHF, fine-tuning support, evaluating/comparing outputs, or auditing model data).
