English (UK) Data Labeler
Quick Summary
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.
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
Responsibilities
~1 min read- →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
What We Offer
~1 min readLocation & Eligibility
Listing Details
- First seen
- October 14, 2026
- Last seen
- October 14, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 57%
- Scored at
- October 14, 2026
Signal breakdown
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