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Review social media posts across text, images, and video, applying detailed classification taxonomies to potentially problematic content and identifying signals of suspected branded content. Assess whether content can be reviewed, follow sampling protocols, and apply labeling, rejection, or escalation rules consistently.
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 seeking detail-oriented Content & LLM Evaluation Annotators to review public social media content and apply complex classification taxonomies consistently across text, images, carousels, and video.
What You’ll Own:
You’ll Thrive in This Role If You Have:
The expected hourly salary range for this position is $25p/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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