Posted:
4/29/2026, 2:17:24 AM
Location(s):
Milwaukee, Wisconsin, United States ⋅ Wisconsin, United States
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
QA & Testing
Workplace Type:
Remote
About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
Role And Responsibilities
Required Technical and Professional Expertise
Preferred Technical And Professional Expertise
Additional Job Description
The Localization QA Tester is responsible for evaluating localized content to ensure linguistic accuracy, cultural relevance, functional quality, and a consistent user experience across supported languages. This role executes test cases, reviews translated content, identifies and reports defects, and collaborates with cross‑functional teams to maintain high localization quality.
Part-time
Rate: $25 Per Hour
Website: https://www.centific.com/
Headquarter Location: Redmond, Washington, United States
Employee Count: 1001-5000
Year Founded: 2020
IPO Status: Private
Last Funding Type: Series A
Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Database ⋅ Information Technology ⋅ Retail Technology