English Data Labeler

Welocalize, Inc.; Seattle (WA); On-site; USD 33,000 - 44,000; Full time

Benefits offered by this job

Paid Vacation: 6 days

Paid Company Holidays: 2 days

Paid Sick Leave

Medical, Dental, and Vision Insurance

Health Savings Account

401(k) Retirement Plan

Employee Assistance Program

Voluntary benefits (life, accident, {

Additional voluntary benefits

Job summary

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This high-impact, onsite production role focuses on building datasets with audio, speech and language data, ensuring models are trained on accurate and well-structured inputs.

You will evaluate AI model outputs and perform audit-based reviews, applying guidelines and collaborating with cross-functional teams to refine quality standards. 40 hours per week, onsite in target locations.

Qualifications

• Native-level fluency in English (UK).
• Strong written communication 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.

Responsibilities

• Evaluate AI model outputs and provide structured, high-quality feedback
• Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
• Apply guidelines thoughtfully — and flag when they don't reflect real-world scenarios
• Contribute to improving evaluation frameworks, not just executing them
• Identify trends in model performance and communicate insights clearly
• Participate in team discussions, calibrations, and stakeholder syncs
• Partner with leads and cross-functional teams to refine quality standards
• Document findings in a clear, concise, and actionable way

Skills

English (UK) fluency

Strong written communication

Attention to detail

Time management

Education

Bachelor's degree or equivalent in a related field

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: Project Perseus | Speech & Voice AI Analyst - English (UK) 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: $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. Please only apply if you meet this location requirement.

What You'll Do

• Evaluate AI model outputs and provide structured, high-quality feedback
• Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
• Apply guidelines thoughtfully — and flag when they don't reflect real-world scenarios
• Contribute to improving evaluation frameworks, not just executing them
• Identify trends in model performance and communicate insights clearly
• Participate in team discussions, calibrations, and stakeholder syncs
• Partner with leads and cross-functional teams to refine quality standards
• Document findings in a clear, concise, and actionable way

What We're Looking For

• Native-level fluency in English (UK)
• 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