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Croatian Data Labeling Analyst Speech Voice Ai

💼 Full-time💰 $26–$26🗓 2026-07-26

Core

Execute high-volume data labeling and annotation tasks for speech and voice AI systems, ensuring accurate transcription, categorization, and tagging of audio and language data.

Role type

Data Labeling Analyst (Speech/Voice AI)

Builds

Datasets for training speech and voice AI models

Domain

AI / Speech Technology / Language Data

Deliverable

production ML models

Required skills

Native-level fluency in Croatian, data labeling and annotation experience, attention to detail, ability to follow detailed guidelines, consistency in repetitive tasks, time management

Preferred skills

Basic familiarity with AI, speech technology, or language data

Technologies

Audio data, speech datasets, transcription tools

Responsibilities

Execute high-volume data labeling and annotation tasks, follow detailed guidelines to ensure consistency and accuracy, work with audio and language data including transcription and tagging, maintain strong throughput while meeting quality expectations, escalate unclear or ambiguous cases, adapt to evolving guidelines and workflows, support baseline data production needs for AI training pipelines, contribute to team calibrations and quality alignment sessions

Rewrite
## About the role 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. ## Responsibilities - 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 ## Requirements - Native-level fluency in Croatian - 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 ## What we offer - Full-time, 40 hours per week - W2 Full-Time Employee - Pay Rate: $26 - $28/hour ## About the company The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. ## Important location details 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.
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