Speech & Voice AI Analyst - Greek Speakers

Welo Data; New York (NY); On-site; USD 54,000 - 58,000; Full time

Benefits offered by this job

Paid Sick Time & Paid Holiday

Medical, Dental, and Vision Insurance

401(k) Retirement Plan

Free meals

Commuter benefits

Job summary

Welo Data is seeking a Data Labeling Analyst in New York City. This full-time role involves executing data labeling tasks to support speech and voice AI systems. Candidates should have professional fluency in Greek and strong attention to detail, with 1–2 years of relevant experience preferred. The position requires onsite work and offers several benefits including medical insurance and paid holidays, along with perks such as meals and commuter benefits.

Qualifications

• 1–2 years of experience in data labeling, annotation, or content-focused work.
• Ability to work consistently under detailed guidelines.
• Comfort in structured environments.

Responsibilities

• Execute high-volume data labeling and annotation tasks.
• Follow guidelines for data integrity and accuracy.
• Support data production needs for AI training pipelines.

Skills

Professional-level fluency in Greek

Strong written communication skills

Attention to detail

Ability to follow detailed instructions

Time management

Job description

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: Data Labeling Analyst
• Hiring in: New York City (On-Site)
• 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

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, or Burlingame. Please only apply if you meet this location requirement.

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
• Support baseline data production needs for AI training pipelines
• Contribute to team calibrations and quality alignment sessions

What We’re Looking For

• Professional-level fluency in Greek
• 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 escalation when needed
• Basic familiarity with AI, speech technology, or language data is a plus

Benefits

• Paid Sick Time & Paid Holiday (combined): 15 days
• Paid Holidays: Memorial Day and Labor Day
• 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

Why This Role

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.