Job Description

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:

• Review individual social media posts in their entirety, including captions, images, carousels, video, overlaid text, emojis, hashtags, logos, packaging, and spoken content.
• Watch/Review videos according to the prescribed sampling protocol.
• Apply detailed classification taxonomies covering potentially problematic content, including mature themes, body-focused content, suffering and distress, risky behavior, violence, social aggression, and other defined categories.
• Identify signals associated with suspected branded content
• Complete reviewability checks and use the appropriate rejection or escalation path when content cannot be accurately assessed.
• Apply multi-select labeling rules precisely, including rules governing mutually exclusive or non-combinable labels.
• Distinguish between similar concepts based on the written specification rather than personal interpretation or assumptions.

You’ll Thrive in This Role If You Have:

• Bachelor's degree
• Previous experience in content annotation, content moderation, data labeling, measurement, research labeling, integrity operations, ads review, or ML training-data programs.
• Experience evaluating or analyzing LLM outputs, including model reasoning or failure modes.
• Excellent critical-thinking and judgment skills, particularly when content falls into ambiguous or borderline categories.
• Strong attention to detail across both text and multimedia content.
• Ability to distinguish meaningful contextual signals from superficial indicators—for example, understanding that a visual element may need to be both sufficiently visible and a focus of the content to meet a particular classification.
• Ability to recognize commercial intent without assuming that a tag, logo, mention, or positive statement alone constitutes branded content. .
• Comfort working with ambiguous, sensitive, graphic, and distressing material.

The expected hourly salary range for this position is $25p/hour, based on experience, skills, and qualifications.

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