
SaaS • Artificial Intelligence • Enterprise
Cresta is an enterprise-grade AI platform that focuses on enhancing contact center operations. By employing a unified platform for human and virtual agents, Cresta aims to improve customer experience, increase revenue, and reduce costs. The platform integrates AI to assist with sales, customer care, retention, and collections, providing real-time guidance and insights. Cresta's AI capabilities include conversation intelligence, agent assistance, quality management, and virtual agents. With a focus on automation and augmentation, Cresta seeks to transform workflows and customer interactions across various industries, including telecommunications, finance, and retail.
October 22
🇺🇸 United States – Remote
💵 $50k - $70k / year
⏰ Full Time
🟢 Junior
🔧 QA Engineer (Quality Assurance)
🚫👨🎓 No degree required
🦅 H1B Visa Sponsor

SaaS • Artificial Intelligence • Enterprise
Cresta is an enterprise-grade AI platform that focuses on enhancing contact center operations. By employing a unified platform for human and virtual agents, Cresta aims to improve customer experience, increase revenue, and reduce costs. The platform integrates AI to assist with sales, customer care, retention, and collections, providing real-time guidance and insights. Cresta's AI capabilities include conversation intelligence, agent assistance, quality management, and virtual agents. With a focus on automation and augmentation, Cresta seeks to transform workflows and customer interactions across various industries, including telecommunications, finance, and retail.
• Review AI-generated summaries for accuracy and completeness; provide feedback to improve models. • Conduct behavioral audits to verify agent triggers and responses match expected outcomes. • Perform redaction audits to protect sensitive customer data. • Run bias audits to detect and document fairness issues. • Compare audio and text for transcription accuracy. • Support Opera platform maintenance and rule configuration to keep AI outputs accurate.
• 1–3 years in QA or data labeling • Exceptional attention to detail and analytical rigor • Strong documentation and communication skills • Comfort with accuracy-driven tasks • Familiarity with conversational AI or annotation tools (preferred) • Experience with bias / redaction audits or speech-to-text QA (preferred)
• Competitive pay and equity • Medical, dental, vision coverage • Flexible PTO, remote-first culture • Monthly wellness stipend & home-office support
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