Dutch Data Labeling Analyst (Speech & Voice AI)

Dutch Data Labeling Analyst (Speech & Voice AI)
Gepubliceerd 10 dagen geleden Deadline voor sollicitaties 25/10/2026
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.
: Data Labeling Analyst
: Full-time, 40 hours per week
: Must be authorized to work in the U.S. (no visa sponsorship)
: $26 - $28/hour

(On-Site: San Francisco, Sunnyvale, or Burlingame)
(On-Site: Redmond, Seattle, or Bellevue)

: 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, or Burlingame. Please only apply if you meet this location requirement.
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions

Strong written communication skills and language fundamentals
1–2 years of experience in data labeling, annotation, or content-focused work
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

Paid Sick Time & Paid Holiday (combined): 15 days
Paid Holidays: Memorial Day and Labor Day
Medical, Dental, and Vision Insurance (eligibility applies)
Additional voluntary benefits (life, accident, critical illness, etc.)

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

This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
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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.
: Data Labeling Analyst
: Full-time, 40 hours per week
: Must be authorized to work in the U.S. (no visa sponsorship)
: $26 - $28/hour

(On-Site: San Francisco, Sunnyvale, or Burlingame)
(On-Site: Redmond, Seattle, or Bellevue)

: 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, or Burlingame. Please only apply if you meet this location requirement.
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions

Strong written communication skills and language fundamentals
1–2 years of experience in data labeling, annotation, or content-focused work
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

Paid Sick Time & Paid Holiday (combined): 15 days
Paid Holidays: Memorial Day and Labor Day
Medical, Dental, and Vision Insurance (eligibility applies)
Additional voluntary benefits (life, accident, critical illness, etc.)

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

This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
Welocalize is een toonaangevende wereldwijde speler in de taal- en lokalisatiesector, gespecialiseerd in het leveren van innovatieve oplossingen voor internationale communicatie. Het bedrijf ondersteunt organisaties bij het aanpassen van content, producten en diensten aan diverse markten en culturen, waardoor een naadloze en authentieke gebruikerservaring ontstaat. Met een focus op technologie, kwaliteit en schaalbaarheid werkt Welocalize samen met klanten uit uiteenlopende sectoren, zoals media, technologie en e-commerce, om hun globale bereik te optimaliseren. Wat Welocalize uniek maakt, is de combinatie van geavanceerde taaltechnologie met menselijke expertise. Het bedrijf biedt een dynamische werkomgeving waarin professionals kunnen bijdragen aan impactvolle projecten, zoals contentbeoordeling voor podcasts, vertalingen en culturele aanpassingen. Met flexibele, remote werkmogelijkheden en een sterke focus op professionaliteit en precisie trekt Welocalize getalenteerde specialisten die streven naar uitmuntendheid in een internationale context.
Hier vind je vergelijkbare banen die bij je passen
Bekijk deze banen die ook interessant voor je kunnen zijn.
Ontwikkel, adviseer en onderhoud integratieplatforms en los technische problemen op in een team.
Data & AI Platform Architect Kaag of Amsterdam
Bouw en optimaliseer een schaalbaar data- en AI-platform om datagedreven besluiten te nemen.
Transcriber with Dutch (fixed term)
Transcribeer en annotatieer Nederlandse audio, evalueren tekstkwaliteit en categoriseer data op locatie in Tampere.
Ontwikkel, adviseer en onderhoud integratieplatforms en los technische problemen op in een team.
Data & AI Platform Architect Kaag of Amsterdam
Bouw en optimaliseer een schaalbaar data- en AI-platform om datagedreven besluiten te nemen.
Transcriber with Dutch (fixed term)
Transcribeer en annotatieer Nederlandse audio, evalueren tekstkwaliteit en categoriseer data op locatie in Tampere.
Beoordeel en annotereer AI-content, verifieer kwaliteit en verbeter datasets voor AI-training.
Trust & Safety Specialist (Content Moderator) with Dutch
Modereer en analyseer online content om platforms veilig te houden en AI-systemen te verbeteren.
Remote: Online Data Analyst - Dutch (BE)
Verifieer en verbeter digitale kaartdata via online onderzoek op afstand.
Blijf op de hoogte van de nieuwste vacatures
Laat je gegevens achter en wij houden je op de hoogte van de nieuwste vacatures die bij jou passen