Spanish Data Labeler

Welo DataWelo DataOakland, California, United States
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Posted

10/14/2026

Employment

Full time

Range

$28 - $28/hr

Work style

On-site

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AI summary

Core responsibilities

The analyst will evaluate AI model outputs and provide structured feedback to improve speech and voice AI systems. They will also perform audit-based reviews to identify patterns and failure modes while collaborating with cross-functional teams to refine quality standards.

Requirements overview

Candidates must have native-level fluency in Spanish (Spain) and at least one year of experience in data labeling or a related bachelor's degree. The role requires the ability to work onsite in specific U.S. cities and maintain high accuracy in repetitive tasks.

Key skills

Spanish language fluencyData labelingData annotationSpeech AIVoice AIAttention to detailQuality assurancePattern recognitionWritten communicationTime managementProcess-drivenAnalytical skillsDocumentationCollaboration

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Education requirements

bachelor degree

About Welo Data

Industry

Translation and Localization

Employees

5,801

Type

Privately Held

Size

1,001-5,000 employees

Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale. Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide.

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Job categories

Data & AnalyticsTechnologySoftware

Description

Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details Job Title: Project Perseus | Speech & Voice AI Analyst - Spanish (Spain) Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) 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: $28/hour 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: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, 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 fluency in Spanish (Spain) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus 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.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location

Requirements

  • •Spanish language fluency
  • •Data labeling
  • •Data annotation
  • •Speech AI
  • •Voice AI
  • •Attention to detail
  • •Quality assurance
  • •Pattern recognition
  • •Written communication
  • •Time management
  • •Process-driven
  • •Analytical skills
  • •Documentation
  • •Collaboration

Benefits

  • •Paid vacation
  • •Paid company holidays
  • •Paid sick leave
  • •Medical insurance
  • •Dental insurance
  • •Vision insurance
  • •Health savings account
  • •401(k) retirement plan
  • •Employee assistance program
  • •Life insurance
  • •Accident insurance
  • •Critical illness insurance
  • •Free breakfast
  • •Free lunch
  • •Free dinner
  • •Commuter benefits

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