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全职 Quality Analyst (LLM, Data Annotation) 工作, 薪水, Salt 公司招聘中 - Ricebowl

Quality Analyst (LLM, Data Annotation)

Salt

Undisclosed

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

Salt is looking to hire an AI Quality Analyst for 12 months & renewable contract role with a global technology client. You will be a subject-matter expert who reviews and evaluates content, decisions, and AI-generated outputs to create high-quality reference data and uphold quality standards.


Responsibilities:

  • Apply detailed guidelines and policies to review, label, and evaluate content, decisions and AI-generated outputs across text, image and video with high accuracy and consistency; take part in calibration sessions to stay aligned with peers.
  • Evaluate and rate the quality of AI / model-generated outputs and provide structured feedback to help improve model performance.
  • Create and maintain high-quality reference ("gold standard") datasets used to train, benchmark and measure both human and AI quality.
  • Identify edge cases, errors, and recurring patterns; surface ambiguities and recommend guideline improvements.
  • Act as a subject-matter expert and point of reference for policy and quality questions.
  • Meet accuracy, quality, and turnaround targets, document reasoning clearly.
  • Adopt and support new AI-assisted review and evaluation tools as they evolve


Qualification:

  • Relevant subject-matter experience (intellectual property, content or enforcement domains a plus).
  • Able to work independently and thrive in an unstructured, fast-paced environment.
  • Interest in and comfort working with AI and AI-assisted tools.
  • 4 years of experience (2 years as an agent + 2 years as a QA)
  • Prior experience with data annotation, labelling, AI/LLM evaluation or content review.
  • Familiarity with annotation guidelines, rubrics and quality frameworks.
  • Experience working across multiple data types (text, image and/or video).
  • Additional language proficiency relevant to the region supported



CEI No: R1659595 / EA No: 07C3147


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