English Data Labeler

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. Youll 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.

Were 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 Youll 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 dont 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 Were 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 Bachelors 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 escalate 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