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居家办公 AI Quality Analyst (Remote) 工作, 薪水, Hire Feed 公司招聘中 - Ricebowl

AI Quality Analyst (Remote)

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Undisclosed

Indonesia

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工作地点

  • Indonesia Indonesia

职位描述

岗位职责

  • Role: AI Quality Analyst (Remote)
  • Location: Remote (Work from Anywhere)
  • Job Type: Full-Time
  • Payout: Competitive, based on experience


Role Overview:

We are hiring for one of our clients, seeking an AI Quality Analyst (Personalization) - Indonesian to work on a full-time basis. You will evaluate a new personalization feature for a cutting-edge AI model by assessing how well it uses information from past interactions to make responses more relevant and helpful. This role requires a mix of creativity and analytical rigor to design prompts and assess personalized responses.


Key Responsibilities:

• Evaluate the quality of AI model responses by assessing dimensions like grounding, integration, and helpfulness.

• Design creative, multi-turn prompts based on personal context to thoroughly test the model’s capabilities.

• Identify incorrect personalization, poor inferences, and forced connections in model outputs.

• Use your primary personal Google account (not a testing account) and enable personal data sources for genuine assessment.

• Work within a global, 24-hour operations team with full-time availability in your local time zone.


Required Skills & Qualifications:

• Ability to read and write in Indonesian with a high degree of competence.

• Experience in evaluating nuanced and ambiguous AI responses, particularly in personalization quality.

• Strong analytical thinking to assess model responses for correctness and relevance.

• Familiarity with prompt engineering and multi-turn conversational testing.

• Meticulous attention to detail to review side-by-side model responses and identify discrepancies.


More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of advanced AI systems that deliver measurable impact. The position supports frontier research with high-quality data and advanced training pipelines.


Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.


Apply Now!

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