Speech & Voice AI Analyst - Finnish Speakers

Welo Data; Washington (District of Columbia); On-site; USD 40,000 - 60,000; Full time

Benefits offered by this job

Paid Vacation: 6 days

Medical, Dental, and Vision Insurance

401(k) Retirement Plan

Onsite Perks: Free meals and stocked kitchens

Job summary

Welo Data is seeking a detail-oriented team member for data labeling to support AI training pipelines. This role requires native-level fluency in Finnish and significant attention to detail in repetitive tasks.

You'll work with speech and voice datasets, ensuring data integrity while contributing to team calibrations. The position offers benefits including medical insurance, 401(k), and onsite perks like free meals.

Qualifications

• 1 year of work experience in data labeling, annotation, or content-focused work.
• Ability to manage time effectively and maintain steady output.
• Basic familiarity with AI, speech technology, or language data is a plus.

Responsibilities

• Execute high-volume data labeling and annotation tasks across speech and voice datasets.
• Support baseline data production needs for AI training pipelines.
• Contribute to team calibrations and quality alignment sessions.

Skills

Native-level fluency in Finnish

Strong written communication skills

Attention to detail

Ability to follow detailed instructions

Education

Bachelor's degree or equivalent academic qualification

Job description

Overview

• 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 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 elevate 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

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.