Finnish Data Labeler

Welo Data; California (MO); Vor Ort; USD 36.000 - 39.000; Vollzeit

Benefits dieser Stelle

Paid Vacation

Paid Holidays

Paid Sick Leave

Medical, Dental, and Vision Insurance

Health Savings Account

401(k) Retirement Plan

Employee Assistance Program

Voluntary benefits (life, accident, CT

Zusammenfassung

Welo Data is seeking data labeling analysts for 100% onsite roles across major U.S. cities. The position focuses on Finnish-language data labeling for speech/voice AI, with strict guidelines and high-volume throughput.

Candidates should have at least 1 year in data labeling or a related degree, and strong attention to detail. The role offers full-time employment with competitive hourly pay and comprehensive benefits.

Qualifikationen

• Execute high-volume data labeling and annotation tasks across speech and voice datasets.
• Follow detailed guidelines to ensure consistency, accuracy, and data integrity.
• Possess attention to detail and ability to follow instructions.

Aufgaben

• Label and annotate speech and language data.
• Maintain data quality while processing at scale.
• Escalate ambiguous cases and adapt to evolving guidelines.

Kenntnisse

Finnish fluency

Strong written communication

1 year data labeling experience

Ability to follow guidelines

Attention to detail

Structured/process-driven

Time management

Ausbildung

Bachelor's degree or equivalent in related field

Jobbeschreibung

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.

Project Details

• Job Title: Project Perseus | Speech & Voice AI Analyst - Finnish Speakers
• 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

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: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. 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

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

Benefits

• Paid Vacation: 6 days
• Paid Company Holidays: 2 days (Memorial Day and Labor Day)
• Paid Sick Leave: accrued per applicable state law and company policy
• 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