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Data Services, Artificial Intelligence, IT Services, Content Transformation

Content Evaluator – Bilingual (Vietnamese and English)- Flexible Hours

RemoteRemoteFull TimePosted 2 months agoVisa sponsorship available

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Required skills

  • Vietnamese
  • English
  • bilingual
  • content evaluation
  • AI
  • customer support
  • Instagram
  • WhatsApp
  • Messenger
  • evaluation rubrics

Nice to have

  • customer service
  • call centers
  • retail
  • handling customer communications
  • email
  • chat

Role summary

We are looking for detail-oriented, bilingual (Vietnamese and English) Content Evaluators to assess AI customer support interactions on platforms like Instagram, WhatsApp, and Messenger. Responsibilities include evaluating AI model responses against complex rubrics, verifying customer queries against business sources, and participating in quality assurance processes. The role requires strong analytical skills, adherence to guidelines, and adaptability to web-based tools. A background in customer service is highly prioritized, along with exceptional written proficiency in both English and Vietnamese. This is a flexible, remote position with an hourly pay rate up to $20.

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Role OverviewWe are seeking detail-oriented evaluators to conduct human quality evaluations for an enterprise AI customer support product on Instagram, WhatsApp, and Messenger. You will evaluate and benchmark AI model responses against complex evaluation rubrics using provided business knowledge bases.

What You’ll Own:

  • Model Evaluation: Review and score AI-generated customer interactions across Foundational, Experiential, and Operational dimensions (e.g., Action Fidelity, Faithfulness, Hallucination, Compliance, Tone, and Handoff).
  • Intent & Fact Verification: Benchmark both informational (R1) and transactional (R2) customer queries against authoritative business sources (FAQs, product catalogs, SOPs) within the task UI.
  • Quality Assurance: Participate in dual-review processes and daily calibration audits to ensure inter-rater agreement and establish ground-truth performance targets.
  • Performance Targets: Deliver precise evaluation

    • You’ll Thrive in This Role If You Have:

  • Customer Service Background: Prior experience in customer service, call centers, retail, or handling customer communications via email, chat, or phone (highly prioritized).
  • English Proficiency: Exceptional written English skills with a strong command of tone, brand voice, grammar, and nuance.
  • Vietnamese Proficiency: Exceptional written Vietnamese skills with a strong command of tone, brand voice, grammar, and nuance.
  • Analytical Precision: Ability to strictly follow multi-tier evaluation guidelines, complex logic trees, and technical rubrics without deviation.
  • Tech Adaptability: Comfort using dedicated web-based tools and labeling interfaces.

    • The expected hourly salary range for this position is up to $20 p/hour, based on experience, skills, and qualifications.

    Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams.

    If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.

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