Multilingual Data Annotation Specialist

Zefr•Marina del Rey, CA

9h•Hybrid

About The Position

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, analytical, proactive, and comfortable navigating ambiguity. Candidates should value clarity, ask smart questions, and continuously seek opportunities to improve processes.

Requirements

Fluency in English and at least one of the following is required: Hindi, Turkish, or Tagalog.
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.
Strong written communication skills, particularly in explaining ambiguity, inconsistencies, or definitional drift.
Ability to apply style guides and enforce consistency across diverse content formats.
Experience using AI tools such as Claude, Gemini, ChatGPT, or similar technologies.
Proficiency in Google Workspace applications.
Reliable, self motivated, and capable of delivering high quality work independently.
Strong analytical thinking and structured problem solving skills.
Comfortable working in a fast-paced environment with shifting priorities.
Work with sensitive content, including political topics, religious perspectives, violence, and adult material.
Effective collaborator who can also operate autonomously.
Willing to work a hybrid schedule with 2 to 3 days per week in our Marina del Rey office.
Ability to appropriately handle confidential and proprietary information with sound judgment.

Nice To Haves

Fluency in Spanish, Mandarin, or additional languages is a plus.
Familiarity with SQL is a plus.

Responsibilities

Use internal tools to label social media content according to Zefr’s contextual category guidelines.
Conduct daily annotation and quality evaluation across video, image, and metadata formats.
Apply cognitive and cultural nuance when making judgment calls on complex or sensitive content.
Interpret, apply, and help refine labeling frameworks and documentation.
Identify emerging trends or edge cases and surface potential issues to stakeholders.
Conduct root cause analyses to identify opportunities for improving content quality.
Provide insights on content patterns and contribute to enhancements of the labeling interface.
Generate weekly reports with findings and quality recommendations.
Perform quality assurance across multiple project pipelines.
Maintain up-to-date knowledge of Zefr policies and proactively suggest optimization opportunities.