Customer Support Email Analyst

Job Title: Customer Support Email Analyst Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Review and analyze customer support email communications to ensure adherence to established guidelines and quality standards. • Evaluate the clarity, tone, accuracy, and overall effectiveness of both human and automated responses. • Identify potential failure modes, inconsistencies, or areas for improvement within automated customer support interactions. • Provide actionable feedback and reporting to enhance the customer experience and improve communication workflows. • Collaborate closely with the customer's team to align evaluation processes and maintain consistency in quality assessment. • Leverage reference materials to effectively benchmark and calibrate automated responses. • Document findings and contribute to best practices for continuous service enhancement. Required Skills and Qualifications: • Proven background in customer support, customer experience, or a related field with a strong emphasis on written communication. • Exceptional command of the English language, both written and verbal, with a keen eye for detail and nuance. • Demonstrated experience in performing quality evaluations or audits of customer support content. • Analytical mindset with the ability to assess tone, intent, and accuracy in responses. • Strong organizational and documentation skills for tracking findings and recommendations. • Comfort working independently in a fully remote environment while collaborating with cross-functional teams. • Genuine care for delivering outstanding customer experiences through every touchpoint. Preferred Qualifications: • Previous experience evaluating or training AI-powered or automated customer support systems. • Exposure to quality assurance methodologies in a customer support context. • Background in process improvement, customer support, customer experience or customer service training.

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