English (UK) Data Labeler

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.

• 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.

• 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

• 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 escalate when needed

• Basic familiarity with AI, speech technology, or language data is a plus