Data Engineer - Intermediate (REMOTE) JP975
Summary
Despite the 'Data Engineer' title, this is an AI data evaluation role: the person reviews AI model outputs (text, images, video, documents) against detailed criteria, spots errors, and writes clear written justifications. It requires strong writing, critical thinking, and attention to detail; no specific tech stack is listed.
At Workada, we're not just labeling data, we're helping improve the technology people use every day. Our work creates the examples and feedback that make advanced systems more accurate, consistent, and useful.
What You'll Do
Evaluate outputs from AI models, text, images, video, and documents against detailed criteria. Assess quality, spot errors and inconsistencies, and write clear, well-reasoned justifications for your judgments. Every evaluation you complete helps these systems perform better in the real world.
Who We're Looking For
People who write clearly, think critically, and can back up a judgment call with a clear explanation. This role suits people who've done work built around precise written evaluation, UI/UX design, graphic design, photography, video production, editorial or research work, or writing technical specs and requirements.
- Strong readers and writers with sound judgment
- Comfortable evaluating creative or technical work against a set of criteria
- Takes quality seriously and catches what others miss
- Can follow detailed written guidelines independently
Qualifications
Technical Requirements
What We Offer
- Clear guidelines and training
- Performance feedback and opportunities to grow
- A mission-driven team focused on accuracy and quality