English (UK) 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. 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) SpeakersHiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours: Full-time, 40 hours per weekEmployment Type: W2 Full-Time EmployeeWork 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 feedbackPerform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modesApply guidelines thoughtfully — and flag when they don’t reflect real-world scenariosContribute to improving evaluation frameworks, not just executing themIdentify trends in model performance and communicate insights clearlyParticipate in team discussions, calibrations, and stakeholder syncsPartner with leads and cross-functional teams to refine quality standardsDocument 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 fundamentals1 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 consistentlyHigh attention to detail and ability to maintain accuracy in repetitive tasksComfort working in structured, process-driven environmentsAbility to manage time effectively and maintain steady outputWillingness to ask questions and escalate when neededBasic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 daysPaid 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 PlanEmployee Assistance ProgramAdditional 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