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The specialist will conduct real-time voice conversations with AI models to evaluate their performance based on defined quality criteria. They are responsible for documenting observations, identifying error clusters, and providing a detailed rationale for model preference.
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.
Scope of the Role:
We are looking for detail-oriented Voice Specialists to evaluate the performance of AI models through real-time, voice-based conversations. In this role, you will interact with two different AI models using the same assigned scenario, carefully compare their responses, and provide structured evaluations based on defined quality criteria.
The goal of the evaluation is to create a fair, consistent comparison between models and identify which model delivers the stronger overall conversational experience.
What You’ll Own:
You’ll Thrive in This Role If You Have
The expected hourly salary range for this position is $20-$27 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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