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Data Annotation Spanish Jobs (NOW HIRING)

Apex Informatics

Linguist III

... annotation or other forms of data markup and tagging 3 Experience with programming and data ... Mexican Spanish • Knowledge of syntax, semantics, pragmatics, sociolinguistics, corpus ...

LILT, Inc

AI Data Expert - Spanish (US) - Remote

How to join our expert community 1 - Submit your application including an updated copy of your CV in English 2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills 3 - ...

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Data Annotation Spanish information

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 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 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.

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Data Annotation Spanish jobs near you
Infographic showing various Data Annotation Spanish job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 19% Full Time, 17% Part Time, 19% Contract, 42% Nights, and 1% Summer. Highlights an 34% Physical, and 66% Remote job distribution.
Project Perseus \u007C Data Labeling Associate - Spanish Speakers (Human-in-the-Loop AI)

Project Perseus \u007C Data Labeling Associate - Spanish Speakers (Human-in-the-Loop AI)

Welo Data

Boston, MA

$34/hr

Full-time

Re-posted 19 days ago

Job description

Overview

Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.

This is not a traditional annotation role.

You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.

We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.

Project Details

  • Job Title: Data Labeling Associate
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $34/hour
  • Contract Duration: 1-year contract with possibility of extension
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.
What You’ll Do
  • Evaluate AI model outputs and provide structured, high-quality feedback
  • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
  • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
  • Contribute to improving evaluation frameworks, not just executing them
  • Identify trends in model performance and communicate insights clearly
  • Participate in team discussions, calibrations, and stakeholder syncs
  • Partner with leads and cross-functional teams to refine quality standards
  • Document findings in a clear, concise, and actionable way
What We’re Looking For
  • Native-level language proficiency and a university degree (Bachelor’s or higher).
  • B2 or superior level of English.  
  • 1–2 years of professional writing experience with strong, structured writing skills
  • Ability to apply complex writing rules and guidelines consistently
  • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
  • Strong critical thinking and attention to detail
  • Ability to make sound judgment calls in ambiguous situations
  • Naturally curious about AI, technology, and how systems behave
  • Comfortable speaking up, asking questions, and contributing ideas
  • Strong written and verbal communication skills
  • Ability to stay consistent while working with evolving guidelines
  • Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.