Hybrid Multilingual Data Annotation Specialist

Zefr; Chicago (IL); Hybrid; USD 60,000 - 81,000; Full time

Benefits offered by this job

Flexible PTO

Medical, dental, and vision insurance

401(k) with company match

Professional development opportunities

Summer Fridays

Job summary

Zefr is seeking a Multilingual Data Annotation Specialist to support the training and performance of its AI systems. You will annotate videos, images, and metadata across platforms such as YouTube, TikTok, Meta, and Snap, with high accuracy and cultural nuance.

The role emphasizes self-direction, analytical thinking, and the ability to navigate ambiguity. You will work in a fast-paced environment, collaborate with stakeholders, and gradually gain exposure to machine learning concepts.

Qualifications

• 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.
• Familiarity with SQL is a plus.

Responsibilities

• Label social media content using Zefr’s contextual category guidelines.
• Conduct daily annotation and quality evaluation across video, image, and metadata formats.
• Apply cognitive and cultural nuance when making judgments 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 understanding of how high-quality annotation data powers AI systems.

Skills

Annotation

Cultural fluency

Attention to detail

Written communication

Independent work

Tools

Google Workspace

SQL

AI tools (Claude Gemini ChatGPT)

Job description

Zefr is seeking a Multilingual Data Annotation Specialist to support the training and performance of its AI systems. You will annotate videos, images, and metadata across platforms such as YouTube, TikTok, Meta, and Snap, with high accuracy and cultural nuance.

The role emphasizes self-direction, analytical thinking, and the ability to navigate ambiguity. You will work in a fast-paced environment, collaborate with stakeholders, and gradually gain exposure to machine learning concepts.