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Spanish (Spain) Data Labeler

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Recruitment began on October 15, 2026
and the job listing Expires on November 21, 2026
New York, NY Full-time
Apply Now

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) Speakers
  • 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

Apply Now

Labor Market InsightsIn partnership withLightcast logo

Explore occupations by career categories and pathways and use real time labor market data to power your decision making.

Find career data by selecting keywords Keyword Search
or, by filtering for industry and occupation Industry Search

First, choose an industry of interest, then filter for occupation. (If you'd like to see data for a specific location only, filter by state.)

Type in a keyword to select a relevant occupation. (If you'd like to see data for a specific location only, filter by state.)

  • 01 Occupation Description
  • 02 Employment Trends
  • 03 Top Employers
  • 04 Education Levels
  • 05 Annual Earnings
  • 06 Technical Skills
  • 07 Core Competencies
  • 08 Job Titles

Occupation Description

Employment Trends

The number of jobs in the career for the past two years, the current year, and projections for the next 10 years. Job counts include both employed and self-employed persons, and do not distinguish between full- and part-time jobs. Sources include Emsi industry data, staffing patterns, and OES data.

Top Employers

These companies are currently hiring for .

    Education Levels

    The educational attainment percentage breakdown for a career (e.g. the percentage of people in the career who hold Bachelor’s Degrees vs. Associate Degrees). Educational attainment levels are provided by O*NET.

    Annual Earnings

    Earnings figures are based on OES data from the BLS and include base rate, cost of living allowances, guaranteed pay, hazardous-duty pay, incentive pay (including commissions and bonuses), on-call pay, and tips.

    Technical Skills

    A list of hard skills associated with a given career ordered by the number of unique job postings which ask for those skills.

      Core Competencies

      The skills for the career. The "importance" is how relevant the ability is to the occupation: scale of 1-5. The "level" is the proficiency required by the occupation: scale of 0-100. Results are sorted by importance first, then level.

        Job Titles

        A list of job titles for all unique postings in a given career, sorted by frequency.

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