Zefr Logo

Zefr

Multilingual Data Annotation Specialist, Spanish

Posted 2 Days Ago
Be an Early Applicant
Hybrid
Marina del Rey, CA
72K-72K Annually
Entry level
Hybrid
Marina del Rey, CA
72K-72K Annually
Entry level
Labels video, image, and metadata content across social media platforms to create ground-truth data for machine learning systems. Applies contextual and cultural guidelines, handles ambiguous or sensitive content, identifies trends and edge cases, performs linguistic quality assurance, analyzes quality misses, and recommends process improvements. Requires Spanish and English fluency, strong attention to detail, familiarity with major social platforms, clear communication, and comfort using AI tools and Google Workspace.
The summary above was generated by AI
What we do:

Zefr is the leading global technology company enabling responsible marketing in walled garden social environments. Our solutions let brands manage where their advertising shows up on YouTube, Meta, TikTok, and Snap, in line with industry-standard frameworks. Through patented AI technology, Zefr gives brands and agencies more accurate and transparent tools for social walled gardens. We're headquartered in Los Angeles, with additional locations across the globe.

What you'll do:

Every AI system that can tell a cooking video from a combat video learned it from a person who made that call first. That person is you.

We're hiring a Multilingual Data Annotation Specialist to label video, image, and metadata content across YouTube, TikTok, Meta, and Snap, and to bring cultural fluency to calls that a model can't make on its own. A clip that reads as harmless in one market reads very differently in another. Catching that difference is the whole job.

Your labels become the ground truth our machine learning systems train on and get measured against. When you get a hard call right, the system gets better at it. When the guidelines don't cover the case in front of you, you're the one who tells us the guidelines need to change.

This role suits someone who finds ambiguity interesting rather than frustrating, who'd rather ask a sharp question than guess, and who takes real satisfaction in precision.

Here's what you'll get to do:
  • Label social media content against Zefr's contextual category guidelines using our in-house tooling.

  • Make daily judgment calls on video, image, and metadata — including content where cultural and linguistic context changes the answer.

  • Apply labeling frameworks, then help us sharpen them when you find the gaps.

  • Spot emerging trends and edge cases early, and raise them before they become systemic mislabels.

  • Run root cause analysis on quality misses and turn what you find into process changes.

  • Perform lingual quality assurance across multiple project pipelines.

You'll also build a working understanding of machine learning and computer vision, and of exactly how annotation quality shows up in model performance.

What we're looking for:Language:
  • Oral, written, and cultural fluency in Spanish and English is required.

Experience and skills:
  • Strong cultural fluency and a feel for context across varied content types.

  • Regular user of TikTok, YouTube, Facebook, Instagram, and Snapchat. You should know these platforms as a native, not a visitor.

  • Exceptional attention to detail, sustained across repetitive work.

  • Clear written communication, especially when explaining ambiguity, inconsistency, or definitional drift.

  • Comfort applying style guides and holding consistency across formats.

  • Comfortable using AI tools such as Claude, Gemini, or ChatGPT.

  • Proficiency in Google Workspace.

Nice to have:
  • Background in annotation, content moderation, labeling, quality assurance, or policy enforcement.

  • SQL familiarity.

  • Additional languages — Portuguese, Mandarin, Turkish, Tagalog, or others — are a plus.

How you work:
  • Comfortable reviewing sensitive content, including political topics, religious perspectives, violence, and adult material.

  • Reliable and coachable. You take feedback well and apply it quickly.

  • Analytical, with structured problem-solving instincts.

  • Steady in a fast-paced environment with shifting priorities.

  • Effective both on a team and on your own.

  • Sound judgment with confidential and proprietary information.

  • Able to work a hybrid schedule, 2–3 days per week in our Marina del Rey office.

One thing to know going in:

This role involves regular exposure to sensitive content, including political and religious material, violence, and adult content. It's a real part of the work, and we'd rather you know that now than find out later. We provide guidelines, support, and a team that talks openly about the hard cases.

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

  • 10+ 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 $72,400. 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 figure, 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.

Similar Jobs

3 Minutes Ago
In-Office
Milpitas, CA, USA
99K-136K Annually
Mid level
99K-136K Annually
Mid level
Hardware • Other • Appliances
Develops, implements, and optimizes manufacturing processes for cooling products. Supports NPI, DFM, process transfers, root cause analysis, process validation, yield improvement, tooling and equipment implementation, supplier qualification, engineering changes, documentation, and production troubleshooting. Collaborates with engineering teams, suppliers, and production personnel to improve quality, cost, delivery, manufacturability, and productivity.
Top Skills: 3D CadAssembly AutomationLeak TestingSolidworksStatistical Process ControlTooling And Fixture Development
10 Minutes Ago
In-Office
Palo Alto, CA, USA
158K-237K Annually
Mid level
158K-237K Annually
Mid level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Cybersecurity • Data Privacy
Designs and develops backend solutions for Disaster Recovery as a Service across on-premises and cloud platforms. Builds scalable application recovery features for AWS, Azure, and GCP, writes unit tests, solves complex distributed-systems problems, and collaborates with product managers, designers, and engineers to deliver reliable products.
Top Skills: AWSAzureC++Google Cloud PlatformJavaScalaVMware
18 Minutes Ago
Easy Apply
In-Office
Easy Apply
80K-100K Annually
Mid level
80K-100K Annually
Mid level
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
Develop and direct high-performing paid social video ads for dog and cat food brands. Responsibilities include generating concepts, writing direct-response scripts, directing talent and shoots, collaborating with editors, analyzing Meta performance data, iterating creative, and maintaining a continuous testing pipeline. The role uses AI tools for ideation and optimization and requires hybrid office and on-set availability in Burbank, plus periodic travel shoots.
Top Skills: Ai ToolsMeta

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account