Welo Data→
Data Labeling Associate – English (UK, Canada,… at Welo Data · NYC…
Entry LevelOn-siteFull-timeNYC Metro Area$71k–$71k/yr
Skills
professional writingapplication of writing guidelinessafety considerations in genai data deliverydata qualityquality assuranceannotationdata analysiscuriosityjudgmentenglish proficiency
Job Description
Summary: Welo Data is looking for detail-oriented individuals to join their team as Data Labeling Associates. In this role, you will evaluate AI model outputs, provide feedback, and contribute to improving evaluation frameworks while working closely with cross-functional teams.
Responsibilities:
- 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
Required Qualifications:
- Native-level English proficiency (UK, CA, AU)
- University degree (Bachelor's or higher)
- 1–2 years of professional writing experience with strong, structured writing skills
- Ability to apply complex writing rules and guidelines consistently
- Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
- Strong critical thinking and attention to detail
- Ability to make sound judgment calls in ambiguous situations
- Naturally curious about AI, technology, and how systems behave
- Comfortable speaking up, asking questions, and contributing ideas
- Strong written and verbal communication skills
- Ability to stay consistent while working with evolving guidelines
Preferred Qualifications:
- Experience in data quality, QA, annotation, or analysis is helpful — but not required
Required Skills: Professional Writing, Application of Writing Guidelines, Safety Considerations in GenAI Data Delivery, Data Quality, Quality Assurance, Annotation, Data Analysis, Curiosity, Judgment, English Proficiency
Benefits: Paid Sick Time & Paid Holiday (combined): 15 days, Paid Holidays: Memorial Day and Labor Day, 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.), Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., Unique Campus Features: Some locations include roof-top nature parks, Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Benefits
Paid Sick Time & Paid Holiday (combined): 15 days
Paid Holidays: Memorial Day and Labor Day
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.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.