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About the Role
Welo Data is seeking detail-oriented individuals to evaluate AI system outputs, identify gaps, and improve AI behavior in real-world scenarios. This role involves data quality, model evaluation, and human judgment, requiring critical thinking and adherence to guidelines. Candidates should be curious about AI, comfortable forming opinions, and confident in contributing to discussions.
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 do not reflect real-world scenarios
- Contribute to improving evaluation frameworks
- 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
Requirements
- Native-level proficiency in Italian
- University degree (Bachelor’s or higher)
- B2 or superior level of English
- 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
- Must be authorized to work in the U.S. (no visa sponsorship)
- Candidates must be located in or able to commute to one of the specified cities
Skills
- Professional writing
- Structured writing
- Applying complex writing rules
- GenAI safety considerations
- Critical thinking
- Attention to detail
- Judgment in ambiguous situations
- Curiosity about AI and technology
- Speaking up and contributing ideas
- Written communication
- Verbal communication
- Working with evolving guidelines
Location
- New York City
- Seattle
- Bellevue
- Redmond
- San Francisco
- Sunnyvale
- Burlingame
- Los Angeles
- Washington DC
- Boston
Work Type
- Full-time
- Onsite
Experience Level
- 1-2 years of professional writing experience
- 2+ years of experience in GenAI data delivery safety considerations
Education Level
- University degree (Bachelor’s or higher)
Salary/Compensations
- $34/hour
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.)
- Free Gourmet Food: Free breakfast, lunch, and dinner
- Micro-kitchens & Snacks: 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
About the Company
- Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
- This is not a traditional annotation role.
- You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios.
- The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
- We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.