Project Perseus | Speech & Voice AI Analyst - Danish Speakers

Welo Data

Seattle (WA)

On-site

USD 32,000 - 45,000

Full time

4 days ago
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Benefits offered by this job

Paid Vacation
Health Insurance
401(k) Retirement Plan
Paid Holidays

Job summary

Welo Data in Seattle, Washington is seeking a Data Labeling Analyst for Project Perseus: Speech & Voice AI, with Danish language requirements. This is a full-time, on-site role that requires you to be located in or able to commute to the Seattle area.

You will label and annotate large datasets of speech and audio, following strict guidelines to ensure accuracy and consistency. The position includes comprehensive benefits and an opportunity to contribute to AI training pipelines.

Qualifications

  • Native-level Danish required or equivalent; excellent written and oral communication in Danish.
  • Experience with data labeling, annotation, or content-focused work is preferred.
  • Ability to follow detailed instructions and apply guidelines consistently.

Responsibilities

  • Execute high-volume data labeling and annotation tasks across speech datasets.
  • Follow guidelines to ensure consistency, accuracy, and data integrity at scale.
  • Work with audio data, including transcription, categorization, and tagging.
  • Maintain throughput while meeting quality expectations.
  • Escalate unclear or ambiguous cases appropriately.
  • Adapt to evolving guidelines and workflows as systems change.
  • Support data production needs for AI training pipelines.
  • Contribute to team calibrations and quality alignment sessions.

Skills

Danish fluency
Attention to detail
Follow guidelines
Strong writing

Education

Bachelor’s degree or equivalent in related field

Job description

Project Perseus | Speech & Voice AI Analyst - Danish Speakers

Welo Data

Seattle, Washington

$78,501 per year - estimated

Project Details
  • 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: $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, Los Angeles, Washington DC, Boston, Chicago, Austin. 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 Danish
  • 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
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.

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.

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