Multilingual Data Annotation Specialist, Spanish
About The Position
Zefr is hiring a Multilingual Data Annotation Specialist to label video, image, and metadata content across YouTube, TikTok, Meta, and Snap. The role applies cultural and linguistic context to content judgments, with labels serving as ground truth for machine-learning training and evaluation. The specialist will apply Zefr’s contextual category guidelines, identify cases where guidelines need refinement, and help improve annotation quality and model performance. The position involves regular exposure to sensitive content, including political and religious material, violence, and adult content. It follows a hybrid schedule with 2–3 days per week in Zefr’s Marina del Rey office.
Requirements
- Oral, written, and cultural fluency in Spanish and English.
- Strong cultural fluency and contextual judgment across varied content types.
- Regular use and native-level familiarity with TikTok, YouTube, Facebook, Instagram, and Snapchat.
- Exceptional attention to detail, sustained across repetitive work.
- Clear written communication, especially when explaining ambiguity, inconsistency, or definitional drift.
- Comfort applying style guides and maintaining consistency across formats.
- Comfort using AI tools such as Claude, Gemini, or ChatGPT.
- Proficiency in Google Workspace.
- Comfort reviewing sensitive content, including political topics, religious perspectives, violence, and adult material.
- Reliable, coachable, receptive to feedback, and able to apply it quickly.
- Analytical approach and structured problem-solving instincts.
- Ability to remain steady in a fast-paced environment with shifting priorities.
- Ability to work effectively both on a team and independently.
- Sound judgment when handling confidential and proprietary information.
- Ability to work a hybrid schedule, 2–3 days per week in the Marina del Rey office.
Nice To Haves
- Background in annotation, content moderation, labeling, quality assurance, or policy enforcement.
- Familiarity with SQL.
- Additional language skills, such as Portuguese, Mandarin, Turkish, Tagalog, or other languages.
Responsibilities
- Label social media content against Zefr’s contextual category guidelines using in-house tooling.
- Make daily judgments about video, image, and metadata content, accounting for cultural and linguistic context.
- Apply labeling frameworks and help improve them when gaps are identified.
- Identify emerging trends and edge cases and raise them before they lead to systemic mislabels.
- Conduct root cause analysis on quality misses and turn findings into process changes.
- Perform linguistic quality assurance across multiple project pipelines.
- Build an understanding of machine learning and computer vision and how annotation quality affects model performance.
Benefits
- 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.
- Shorter work days on select Fridays during the summertime (“Summer Fridays”).
- In-office lunches and free food.
- Optional in-person and virtual events.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
