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Cantonese Language Evaluator

Job in Ithaca, Tompkins County, New York, 14850, USA
Listing for: ESR Healthcare
Full Time position
Listed on 2026-09-24
Job specializations:
  • IT/Tech
    Data Annotation/ AI Labeling, Data Entry, Data Analyst, AI Evaluation
Salary/Wage Range or Industry Benchmark: 34000 - 62000 USD Yearly USD 34000.00 62000.00 YEAR
Job Description & How to Apply Below

Cantonese Language Evaluator

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1.ai/post/5ca5feef-a2f0-4da9-ac55-1dfdc
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Code=10002f4f-2f65-476f-b8d5-434a&=referral&=share&=

Role Type:
Contractor

Location:

Remote

Scope of Work
  • Assess Cantonese text and speech data for linguistic accuracy, fluency, and contextual appropriateness using internal tools.
  • Provide detailed feedback on model outputs to identify errors, ambiguities, and improvement opportunities.
  • Participate in data annotation, labeling, and categorization assignments tailored to natural language processing development.
  • Collaborate with project leads to refine tasks, clarify evaluation criteria, and elevate complex language cases as needed.
  • Follow established project guidelines and maintain consistency and quality across all deliverables.
  • Document insights and recommendations to support continuous improvement of evaluation processes and system outputs.
  • Support ad hoc linguistic quality reviews based on evolving project needs and priorities.
Preferred Qualifications
  • Native proficiency in Cantonese, with strong command of written and spoken forms.
  • Demonstrated experience in language evaluation, translation, linguistic annotation, or related language technology projects.
  • Exceptional written and verbal communication skills, with keen attention to detail.
  • Familiarity with content moderation, transcription, or quality assessment tasks is advantageous.
  • Analytical mindset and ability to apply consistent evaluation criteria to diverse language samples.
  • Comfort using online platforms and digital evaluation tools for data review and submission.
  • Ability to work independently, manage multiple assignments, and meet project deliverables efficiently.
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