Remote Software Engineer for Training AI Data - Python, Thai Language

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Description:

  • You will join an expert annotation team to create training data for advanced AI models.
  • No previous AI experience is necessary; this role is an entry point into the AI/LLM space.
  • The position requires software engineers with 3+ years of experience to train large AI language models.
  • Your tasks will include evaluating the quality of AI-generated code and providing human-readable summaries of your rationale.
  • You will solve coding problems and write functional and efficient code.
  • Writing robust test cases to confirm code efficiency and effectiveness is also part of your responsibilities.
  • The role involves solving coding challenges, creating instructions, and reviewing code before it goes into the model.
  • Projects will vary widely, from comparing pieces of Python code to developing full mobile applications using chatbots.
  • The position is fully remote, and you can work from various locations in Thailand.

Requirements:

  • You must have 3+ years of experience in a software engineering or software development role.
  • Complete fluency in the English language is required.
  • You should be able to articulate complex scientific concepts clearly and engagingly.
  • Excellent attention to detail and the ability to maintain consistency in writing are essential.
  • A solid understanding of grammar, punctuation, and style guidelines is necessary.
  • Proficiency with Python is required.

Benefits:

  • The pay rate for this position in Thailand is $15.57 per hour.
  • You can work 15+ hours per week, with no upper limit on hours; many engineers work 20-40 hours or more.
  • Payment is made weekly based on hours worked on the platform.
  • The contract is long-term with no end date, and you can end it at any time.
  • Flexible schedules allow you to set your own hours, with the expectation of strong engagement with project teams.
  • You can take breaks as needed, including a 3-hour lunch.
  • The interview process includes an async code review and a simulated production-level task to determine employment.
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