German Data Labeling Associate - WA based

Welo Data•Redmond, WA

16h•Onsite

About The Position

Welo Data is seeking Data Labeling Associates for Project Perseus. This role is for native German speakers with a professional writing background and a keen eye for AI safety. It involves working at the intersection of human judgment and machine learning, evaluating how cutting-edge AI systems handle Arabic language nuances, cultural context, and safety boundaries. This is not a traditional annotation role, but rather an opportunity to critique Arabic AI outputs, identify biases and risks in Arabic datasets, and help refine evaluation frameworks to reflect real-world Arabic dialects and contexts. The work is fast-moving, collaborative, and central to how modern AI systems are built and deployed.

Requirements

Native-level German proficiency.
University Degree (Bachelor’s or higher).
B2 level or superior English skills to navigate technical guidelines and stakeholder syncs.
1–2 years of experience in professional writing, journalism, or content creation.
2+ years of experience focusing on Safety & Trust in Generative AI data delivery.
The ability to make sound judgment calls in ambiguous "grey area" scenarios.
A natural curiosity about LLMs and the confidence to flag issues when a model's behavior feels "off."

Responsibilities

Critique Arabic AI outputs for accuracy, fluency, and tone, providing structured feedback to drive model improvement.
Use your 2+ years of GenAI safety experience to identify bias, risks, and failure modes in Arabic datasets.
Apply complex linguistic guidelines thoughtfully and help refine evaluation frameworks to reflect real-world Arabic dialects and contexts.
Identify trends in model performance and communicate findings clearly to technical stakeholders.
Participate in team syncs to ensure consistent quality across global AI workstreams.