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.
