English (UK) Data Labeler

Welo Data; Washington (District of Columbia); On-site; USD 79,901,000 - 82,656,000; Full time

Benefits offered by this job

Paid time off

Paid holidays

Health insurance

Health Savings Account

401(k)

Employee assistance program

Commuter benefits

Onsite meals

Job summary

Welo Data seeks detail-oriented Data Labeling Analysts to support speech and voice AI systems. This 100% onsite role requires commuting to listed US cities and a 40-hour work week.

The position demands native-level English (UK) proficiency, strong written communication, and either 1 year of data labeling experience or a related degree. You will evaluate model outputs and document findings for continuous quality improvement.

Qualifications

• 1 year of work experience in data labeling, annotation, or related content work.
• Or a Bachelor's degree or equivalent in a related field.
• Native-level fluency in English (UK) required.

Responsibilities

• Evaluate AI model outputs and provide structured feedback.
• Perform audit-based reviews of data and model behavior to identify patterns and edge cases.
• Apply guidelines thoughtfully and flag when they do not reflect real-world scenarios.
• Contribute to improving evaluation frameworks beyond execution.
• Identify trends in model performance and communicate insights clearly.
• Participate in team discussions, calibrations, and stakeholder syncs.
• Partner with leads to refine quality standards and document findings clearly.

Skills

English (UK) proficiency

Written communication

Attention to detail

Time management

Ask questions

Education

Bachelor's degree or equivalent

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.

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 policyMedical, 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