Greek Speech & Voice AI Analyst at Welocalize

University of Delaware; United States; Hybrid; USD 52,000 - 58,000; Full time

Job summary

Welo Data is looking for a detail-oriented Data Labeling Analyst to support speech and voice AI systems. This full-time, 100% onsite role is focused on executing high-volume data labeling tasks while ensuring data accuracy and consistency.

The ideal candidate will possess native-level fluency in Greek and have at least one year of experience in data labeling or a relevant Bachelor's degree. Strong written communication and attention to detail are essential for success in this high-impact position.

Qualifications

• 1 year of work 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.

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.

Skills

Native-level fluency in Greek

Strong written communication skills

Attention to detail

Time management

Education

Bachelor's degree or equivalent in a related field

Job description

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.

• Job Title: Data Labeling Analyst
• 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: $26 - $28/hour

What You’ll Do

• 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
• Contribute to team calibrations and quality alignment sessions

What We’re Looking For

• Native-level fluency in Greek
• 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
• Ability to manage time effectively and maintain steady output
• Willingness to ask questions and escalation when needed
• Basic familiarity with AI, speech technology, or language data is a plus

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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Chicago, Washington DC, Boston. Please only apply if you meet this location requirement.