Multilingual Data Quality Control Specialist

What we do:

Zefr is the global leader in brand suitability targeting and measurement across the world’s largest platforms. Zefr’s technology is helping to power the age of responsible marketing by putting advertisers in control of their content adjacencies based on their own unique brand safety and suitability preferences, mapped to the Global Alliance of Responsible Media’s (GARM) industry standards. As an official YouTube Measurement Program Partner, Meta for Business Partner, and TikTok for Business Partner, the company leverages patented machine learning and AI technology (Cognition AI) to offer brands and agencies more precise and transparent brand safety and suitability activation and measurement solutions on scaled platforms. The company is headquartered in Los Angeles, California, with additional locations across the globe.

What you’ll do:

We are hiring a Multilingual Quality Control Specialist/ Senior Multilingual Data Annotation Specialist responsible for conducting annotations and quality control (QC) on videos, images, and metadata for YouTube, TikTok, Facebook, and other social media content. Previous data annotation and/or QC experience is required. We seek a self-motivated candidate who values high-quality work, adeptly follows instructions and manages tasks to completion, embraces a proactive approach, is unhesitant to seek clarification or offer constructive feedback to enhance processes, possesses strong analytical skills, and enjoys continuous learning and problem-solving. High-quality human annotation data is an integral part of training Zefr’s sophisticated compound AI systems.

Here’s what you’ll get to do:

• Use in-house tools to label social media content based on Zefr’s various contextual category guidelines
• Make judgment calls on nuanced content to provide cognitive and cultural understanding
• Conduct ongoing quality management on team: check and track quality & throughput, effectively provide feedback, and establish standards for consistent labeling practices
• Work closely with data scientists, engineers, and annotation leadership to provide valuable insights on content trends, model deficiencies, and suggest improvements
• Assist in creating documentation and training materials
• Apply and refine labeling framework and guidelines
• Be willing to work with sensitive content including but not limited to varying religious and political views, violence, and adult content
  
  

Here’s what we’re looking for:

• 3+ years of annotation, content moderation, or content QC experience at a technology-focused company
• Fluency in English and Portuguese, Italian, Mandarin, or Hindi
• Experience reviewing social media content, including TikTok, YouTube, Facebook, and Instagram is a plus
• Strong attention to detail with the ability to perform repetitive tasks with high quality and consistency
• Exceptional critical thinking, problem-solving, and communication skills
• Ability to work in a fast-paced environment, adept at rapid learning, and skilled in effectively prioritizing tasks
• Capable in both collaborative teamwork and independent work
• Proficiency in the following systems (JIRA, Google Workspace)
• SQL familiarity
• Preference for a candidate located in the greater Los Angeles area
  
  

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.

Benefits (for US based employees):

• Flexible PTO
• Medical, dental, and vision insurance with FSA options
• Company-paid life insurance
• Paid parental leave
• 401(k) with company match
• Professional development opportunities
• 14+ paid holidays off
• Flexible hybrid work schedules
• “Summer Fridays” (shorter work days on select Fridays during the summertime)
• In-office lunches and lots of free food
• Optional in-person and virtual events (we like to celebrate!)
  
  

Compensation (for US based employees):

The anticipated salary for this position is between $70,000 to $75,000. Within the range, 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.