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AI & Agents · Pentagon AI

Applied ML Engineer, Fine-tuning (POCA)

Train and improve POCA, our own community-trained AI, from real community questions and reviewed answers.

Remote · Taiwan · Hong Kong · Singapore · Dubai (housing benefit) · Toronto · Full-time

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What you'll do

  • Run the training rounds: data curation, fine-tuning, evaluation and release
  • Build the pipelines that turn reviewed community Q&A into training data
  • Keep POCA accurate on product facts and safe on topics it must not answer
  • Work with the Train community and moderators on what POCA learns next

What you'll bring

  • Hands-on fine-tuning of open models (LoRA or full) and the evals around it
  • Strong Python and data engineering
  • Care about data quality, privacy and provenance
  • You can explain a model change to non-engineers

Nice to have

  • RAG and knowledge-base design
  • Multilingual models (Chinese, Arabic)

How you'll work with AI

You will work alongside our own AI agents every day: they draft, test, research and ship with you, and part of your job is making them better.

Where and how

Remote · Taiwan · Hong Kong · Singapore · Dubai (housing benefit) · Toronto. Full-time. We work remote-first with offices in Taiwan, Hong Kong, Singapore, Dubai and Toronto; Dubai roles include a housing benefit.

How to apply

Apply on members.pentagon.games. You'll sign in or create a free Pentagon account first, so your application is saved to it and you can follow or withdraw it. Every application asks one question we care about most: what have you built with AI agents? Show us.

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