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# Finnish Data Labeling Analyst(Speech & Voice )

- **Company:** Welocalize, Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Salary:** $54,080 - $58,240
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Integrity
- **Published:** October 23, 2026
- **Apply:** https://www.thejobnetwork.com/job/4887594c-8c09-4dc5-9c8e-0e33c230408f/finnish-data-labeling-analystspeech-voice-

## 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., * Native-level fluency in Croatian

 * 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

## Description

* 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