Data Analyst

4 days ago

Taguig, National Capital Region, Philippines QuickStart Solutions Full time ₱800,000 - ₱1,200,000 per year

As an AI Trainer, you'll play a vital role in shaping the large language models behind our AI-powered games. Your contributions will enhance the emotional intelligence and logical reasoning of these models, ultimately enriching the player experience and making gameplay more immersive.

Role Focus

This position spans across four key domains:

  • Large Language Models (LLMs)
  • Creative Writing
  • Audio
  • Video
Key Responsibilities

You'll engage in a wide range of tasks that are essential to developing our AI-driven gaming experiences:

  • Data Annotation: Tag and label in-game content like dialogues, quests, and character interactions to ensure data quality and consistency, directly influencing the player experience.
  • Creative Writing: Develop world-building elements, character backstories, side plots, and personality traits to bring the game universe to life.
  • Model Assessment: Review and score AI-generated responses based on predefined criteria to enhance conversational quality and player interaction.
  • Cross-Functional Collaboration: Partner with research and product teams to help refine and advance our large language model capabilities.
Ideal Candidate Profile

We're looking for motivated individuals eager to contribute and grow.

  • Educational Background: Recent graduates with degrees in fields such as Statistics, IT/Computer Science, Engineering, Mathematics, Psychology, or Copywriting are encouraged to apply.

  • Skills & Knowledge Areas:

  • Writing and storytelling (copywriting, narrative design, technical writing)

  • STEM disciplines
  • Data-related fields (e.g., data analysis, processing, reporting)
  • Human behavior studies (Psychology, Philosophy)
  • Gaming Enthusiast: A strong interest in gaming, particularly story-rich or RPG titles, is essential.
Preferred (but not required) Skills:
  • AI Experience: Exposure to working with AI models, including reinforcement learning from human feedback (RLHF), model fine-tuning, or evaluating and comparing outputs.
  • Data Proficiency: Hands-on experience with data handling and analysis.

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