AI Data Quality & Model Evaluation Associate

Welo Global; Burlingame (CA); On-site; USD 39,000 - 55,000; Full time

Benefits offered by this job

Paid vacation

Health insurance

401(k) plan

Free meals on site

Onsite campus features

Job summary

Welo Data in the United States is seeking a Data Labeling Associate to evaluate AI outputs and provide high-quality feedback. This onsite role focuses on data quality, model evaluation, and applying guidelines to real-world scenarios.

You will work with cross-functional teams to maintain rigorous standards and document findings clearly. Ideal candidates have a Bachelor's degree, 1–2 years of writing experience, and strong English proficiency.

Qualifications

• 1–2 years of professional writing experience with strong, structured writing skills
• Ability to apply complex writing rules and guidelines consistently
• Native-level language proficiency and a university degree
• Strong understanding of safety considerations in GenAI data delivery
• Strong critical thinking and attention to detail

Responsibilities

• Evaluate AI model outputs and provide structured, high-quality feedback
• Perform audit-based reviews of data and model behavior
• 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

Skills

English proficiency

Writing skills

Critical thinking

Attention to detail

Communication

Education

Bachelor's degree

Job description

Welo Data in the United States is seeking a Data Labeling Associate to evaluate AI outputs and provide high-quality feedback. This onsite role focuses on data quality, model evaluation, and applying guidelines to real-world scenarios.

You will work with cross-functional teams to maintain rigorous standards and document findings clearly. Ideal candidates have a Bachelor's degree, 1–2 years of writing experience, and strong English proficiency.