Hybrid Multilingual Data Annotator for AI Training

Zefr; California (MO); Hybrid; USD 63,000 - 78,000; Full time

Benefits offered by this job

Flexible PTO

Medical, dental, and vision insurance

Company-paid life insurance

Paid parental leave

401(k) with match

Professional development

13 paid holidays

Flexible hybrid work

Summer Fridays

In-office meals

Events (in-person/virtual)

Job summary

Zefr in Los Angeles, CA, is hiring a Multilingual Data Annotation Specialist to label videos, images, and metadata for AI model training across major social platforms. You will apply contextual guidelines, ensure high accuracy, and surface issues to stakeholders.

The role emphasizes precision, cultural nuance, and collaboration in a fast-paced hybrid environment. The ideal candidate will fluently speak English and Hindi, have prior annotation experience, and be comfortable with AI tools like

Qualifications

• Professional experience in annotation, content moderation, labeling, 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

• 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

Annotation

Quality assurance

Cultural fluency

Analytical thinking

Written communication

SQL familiarity

Google Workspace

AI tools

Social platforms knowledge

Bilingual English/Hindi

Tools

Claude (AI tool)

Gemini (AI tool)

ChatGPT

SQL

Job description

Zefr in Los Angeles, CA, is hiring a Multilingual Data Annotation Specialist to label videos, images, and metadata for AI model training across major social platforms. You will apply contextual guidelines, ensure high accuracy, and surface issues to stakeholders.

The role emphasizes precision, cultural nuance, and collaboration in a fast-paced hybrid environment. The ideal candidate will fluently speak English and Hindi, have prior annotation experience, and be comfortable with AI tools like