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Multilingual Data Annotation Specialist

Zefr · Marina del Rey, CA · Remote

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About Zefr

Zefr is the leader in AI-powered content classifications for brands and advertisers. Backed by Felicis and IVP.

About the role

We are hiring a Multilingual Data Annotation Specialist to support the training and performance of Zefr’s advanced AI systems. In this role, you will annotate videos, images, and metadata across platforms such as YouTube, TikTok, Meta, and Snap. High quality human annotation is foundational to how our machine learning systems interpret, classify, and evaluate content at scale. Your work will directly shape the accuracy and integrity of our AI solutions.

What they're looking for

  • Fluency in English and Hindi is required
  • Fluency in Spanish, Mandarin, Turkish, Tagalog, or others are a plus
  • Professional experience in annotation, content moderation, labeling, quality assurance, or policy enforcement
  • Strong cultural fluency and ability to interpret contextual nuance across varied content types
  • Familiarity with major social media platforms including TikTok, YouTube, Facebook, Instagram, and Snapchat
  • Exceptional attention to detail with the ability to perform repetitive tasks with consistency and accuracy
More about this role

Zefr is the leading global technology company enabling responsible marketing in walled garden social environments. Zefr’s solutions empower brands to manage their content adjacency on scaled platforms such as YouTube, Meta, TikTok, and Snap, in accordance with industry standard frameworks. Through its patented AI technology, Zefr offers brands and agencies more accurate and transparent solutions for social walled gardens. The company is headquartered in Los Angeles, California, with additional locations across the globe.

We are hiring a Multilingual Data Annotation Specialist to support the training and performance of Zefr’s advanced AI systems. In this role, you will annotate videos, images, and metadata across platforms such as YouTube, TikTok, Meta, and Snap.

High quality human annotation is foundational to how our machine learning systems interpret, classify, and evaluate content at scale. Your work will directly shape the accuracy and integrity of our AI solutions.

We are looking for someone curious about machine learning and computer vision, energized by nuanced decision making, and committed to delivering precise, thoughtful work. The ideal candidate is self-directed,...

Read the full posting on Zefr's site ↗

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