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Zefr
Marina del Rey, California, United States; New York City, New York, United States; Chicago, Illinois, United States
Source: Zefr careers · View original posting
From Zefr's posting. “We” and “our” refer to the employer.
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.
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.
Fluency in English and Hindi is required.
Fluency in Spanish, Mandarin, Turkish, Tagalog, or others are a plus.
Compensation
The anticipated salary for this position is 70,500. Individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation.
Zefr is an equal opportunity employer that embraces diversity and inclusion in the workplace. We are committed to building a team that represents a variety of backgrounds, skills, and perspectives because we know this only makes us better. We strongly encourage women, persons of color, LGBTQIA+ individuals, persons with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply even if you do not meet 100% of the qualifications.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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