ZipRecruiter

Log In

1

Data Annotation Spanish Jobs in California (NOW HIRING)

next page

Showing results 1-20

All JobsData Annotation Spanish JobsData Annotation Spanish Jobs in California

Data Annotation Spanish information

What is data annotation in Spanish?

Data Annotation in Spanish refers to the process of labeling or tagging data—such as text, audio, or images—in the Spanish language to make it understandable for machine learning models. This work helps train artificial intelligence systems to recognize and process Spanish language content accurately. Data annotators may categorize content, transcribe audio, or highlight specific elements in images or texts. The quality of annotated data directly impacts the performance of language models and other AI applications.

What are some common challenges faced by data annotation specialists working with Spanish language data, and how can they be addressed?

Data Annotation Specialists working with Spanish language data often encounter challenges such as managing regional dialects, idiomatic expressions, and cultural nuances that can affect the accuracy of annotations. To address these challenges, it's important to have a strong understanding of the specific dialect or variant required by the project and to consistently refer to established guidelines or glossaries. Collaboration with team members and regular quality checks help ensure consistency and high-quality output, while ongoing training can keep annotators updated on best practices and new annotation tools.

What are the key skills and qualifications needed to thrive as a data annotation specialist (Spanish), and why are they important?

To thrive as a Data Annotation Specialist (Spanish), you need proficiency in the Spanish language, attention to detail, and a basic understanding of data labeling concepts, often supported by a high school diploma or higher. Familiarity with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, along with knowledge of file management systems. Strong communication, consistency, and the ability to work independently are important soft skills for excelling in this position. These skills ensure accurate, high-quality data labeling that directly impacts the performance of AI and machine learning models.

What is the difference between Data Annotation Spanish vs Data Labeling Specialist?

AspectData Annotation SpanishData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often requires familiarity with labeling tools
Work EnvironmentRemote or office-based, tech companiesRemote or on-site, tech and AI industries
Industry UsageUsed in AI training for Spanish language dataUsed across various industries for data preparation
Search IntentLooking for Spanish-specific annotation rolesSearching for general data labeling jobs

Data Annotation Spanish focuses on annotating data specifically in Spanish, often requiring language skills. Data Labeling Specialist is a broader role involving labeling data in various formats and languages. Both roles are essential in AI development, but Data Annotation Spanish is specialized for Spanish language datasets.

What are popular job titles related to Data Annotation Spanish jobs in California?

For Data Annotation Spanish jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Annotation Spanish jobs in California look for?

The top searched job categories for Data Annotation Spanish jobs in California are:

What cities in California are hiring for Data Annotation Spanish jobs?

Cities in California with the most Data Annotation Spanish job openings:

Data Annotation Spanish jobs near you
Infographic showing various Data Annotation Spanish job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 66% Full Time, 30% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Multilingual Data Annotation Specialist

Marina Del Rey, CA • On-site

Zefr, Inc
Software Development • 51 - 200 employees
Learn more about Zefr, Incexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Key responsibilities

  • Annotate videos, images, and metadata across platforms such as YouTube, TikTok, Meta, and Snap.

  • Conduct daily annotation and quality evaluation to ensure high-quality human annotation for AI systems.

  • Interpret, apply, and help refine labeling frameworks and documentation, and identify emerging trends or issues.

Job description

What we do:
Zefr is the leading global technology company enabling responsible marketing in walled garden social environments. Zefr's solutions empower brands to manage their content adjacency on scaled platforms such as YouTube, Meta, TikTok, and Snap, in accordance with industry standard frameworks. Through its patented AI technology, Zefr offers brands and agencies more accurate and transparent solutions for social walled gardens. The company is headquartered in Los Angeles, California, with additional locations across the globe.
What you'll do:
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.
Here's what you'll get to do:
  • 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.

Here's what we're looking for:
Language Requirements:
  • Fluency in English and Hindi is required.
  • Fluency in Spanish, Mandarin, Turkish, Tagalog, or others are a plus.

Qualifications and Experience:
  • Professional experience in annotation, content moderation, labeling, quality assurance, or policy enforcement.
  • Strong cultural fluency and ability to interpret contextual nuance across varied content types.
  • Familiarity with major social media platforms including TikTok, YouTube, Facebook, Instagram, and Snapchat.
  • Exceptional attention to detail with the ability to perform repetitive tasks with consistency and accuracy.
  • Strong written communication skills, particularly in explaining ambiguity, inconsistencies, or definitional drift.
  • Ability to apply style guides and enforce consistency across diverse content formats.
  • Experience using AI tools such as Claude, Gemini, ChatGPT, or similar technologies.
  • Proficiency in Google Workspace applications.
  • Familiarity with SQL is a plus.

Working Style and Mindset:
  • Reliable, self motivated, and capable of delivering high quality work independently.
  • Strong analytical thinking and structured problem solving skills.
  • Comfortable working in a fast-paced environment with shifting priorities.
  • Work with sensitive content, including political topics, religious perspectives, violence, and adult material.
  • Effective collaborator who can also operate autonomously.
  • Willing to work a hybrid schedule with 2 to 3 days per week in our Marina del Rey office.
  • Ability to appropriately handle confidential and proprietary information with sound judgment.

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
  • 13 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 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.

Apply