Hybrid Multilingual Data Annotator for AI Training

Zefr; New York (NY); Hybrid; USD 63,000 - 78,000; Full time

Benefits offered by this job

Flexible PTO

Medical, dental, and vision insurance

401(k) with company match

Professional development

13 paid holidays

Flexible hybrid work schedules

In-office lunches

Events and celebrations

Job summary

Zefr is hiring a Multilingual Data Annotation Specialist to support training of its AI systems by annotating videos, images, and metadata across platforms such as YouTube, TikTok, Meta, and Snap. High quality human annotation shapes accuracy and integrity of AI solutions.

The ideal candidate is curious about machine learning, self-directed, analytical, and proactive, with strong attention to detail and excellent written communication.

Qualifications

• Professional experience in annotation, content moderation, labeling, quality assurance, or policy enforcement.
• 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.
• 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.
• Gain foundational exposure to machine learning concepts and develop an understanding of how high quality annotation data powers AI systems.

Skills

Attention to detail

Analytical thinking

Self-motivated

Independent work

Written communication

AI tools familiarity

Tools

Claude

Gemini

ChatGPT

Google Workspace

SQL

Job description

Zefr is hiring a Multilingual Data Annotation Specialist to support training of its AI systems by annotating videos, images, and metadata across platforms such as YouTube, TikTok, Meta, and Snap. High quality human annotation shapes accuracy and integrity of AI solutions.

The ideal candidate is curious about machine learning, self-directed, analytical, and proactive, with strong attention to detail and excellent written communication.