Customer Support Specialist

Signify Technology; Charlotte (NC); Hybrid; USD 42,000 - 62,000; Full time

Job summary

Signify Technology in Charlotte, NC, seeks a detail-oriented Customer Support Analyst for a 12-month extendable contract that may convert to a full‑time role. You will review AI-generated conversations and financial guidance to ensure accuracy, compliance, and helpfulness for customers.

Ideal candidates have 1–3 years in customer service or QA, a strong eye for detail, and familiarity with CRMs, data platforms, and Excel. An interest in AI and personal finance is valued.

Qualifications

• 1–3 years of professional experience in customer service or QA.
• Strong interest in personal finance and banking.
• Excellent attention to detail with ability to spot errors.

Responsibilities

• Review AI-generated conversations and financial guidance for accuracy and compliance.
• Collaborate with the AI quality team to identify and triage issues.
• Use CRMs and QA tools to verify data, resolve discrepancies, and improve customer outcomes.
• Communicate findings clearly to stakeholders and contribute to process improvements.

Skills

CRM tools

Data analysis

Excel (pivot tables)

Attention to detail

Written communication

Problem solving

Interest in AI

Tools

Ticketing systems

QA tools

Job description

Customer Support - 12 months extendable contract (or can convert to FTE)

Hybrid in Charlotte, North Carolina

W2 only, no C2C, no sponsorship, no third parties.

About the job

A leading financial technology software company is expanding its AI quality team and needs a detail-driven analyst. You'll review AI-generated conversations (chat bot) and financial guidance to make sure what customers see is accurate, compliant, and genuinely helpful.

Requirements

• 1-3 years of professional experience (internships count) ideally in customer service, customer experience, banking operations, lending, technical support, or quality assurance.
• Genuine interest in personal finance, credit, and banking
• Strong eye for detail, with a knack for spotting errors and inconsistencies
• Comfortable navigating CRMs, customer data platforms, and ticketing-style QA tools
• Confident in Excel, including pivot tables, charts, and working with CSV files
• Able to dig through large volumes of data, such as credit reports and transaction histories, to verify accuracy
• Customer-first mindset with clear written communication
• Interest in AI and how it's used in customer-facing products