English (Canada) Data Labeling Associate - California based

Welo Data; San Francisco (CA); Vor Ort; USD 68.000 - 80.000; Vollzeit

Benefits dieser Stelle

Paid Vacation: 6 days

Medical, Dental, and Vision Insurance

401(k) Retirement Plan

Free Gourmet Food

Commuter Benefits

Zusammenfassung

Welo Data is seeking a Data Labeling Associate to evaluate AI model outputs and improve data quality. The role requires native-level Canadian English proficiency and a relevant degree, offering a full-time, onsite position in cities including San Francisco and NYC.

Responsibilities involve providing structured feedback, auditing data and models, and participating in team discussions. The position includes benefits like paid vacation, insurance, and free gourmet food.

Qualifikationen

• Must have 1-2 years of professional writing experience with strong skills.
• Ability to apply complex writing rules and guidelines consistently.
• Strong understanding of safety considerations in GenAI data.

Aufgaben

• Evaluate AI model outputs and provide structured feedback.
• Perform audit-based reviews of data and model behavior.
• Identify trends in model performance and communicate insights.

Kenntnisse

Native-level Canadian English proficiency

Professional writing experience

Critical thinking

Attention to detail

Strong communication skills

Ausbildung

Bachelor's degree or higher

Jobbeschreibung

Overview

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.

Project Details

• Job Title: English (Canada) Data Labeling Associate
• Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame.
• 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: $34/hour
• Contract Duration: 1-year contract with possibility of extension

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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.

What You’ll Do

• 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

What We’re Looking For

• Native-level Canadian English proficiency and a 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
• Experience in data quality, QA, annotation, or analysis is helpful — but not required

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 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.

Why This Role

This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.