Job Description
Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: Design and evaluate fee inquiry and statement clarification scenarios — verifying that fee amounts match disclosed schedules and distinguishing descriptor-mapping questions from real fraud claims; Create autopay and payment setup scenarios with deliberate traps: incorrect payee, insufficient-funds policy, wrong draft date, or missing confirmation steps; Build card replacement and fraud claim scenarios testing card-block urgency, fraud-signal recognition, intake information capture, and clean handoff to the disputes team; Author account closure scenarios testing retention-offer eligibility logic, pending-transaction checks, and refusal to extend offers to ineligible customers; Grade responses on both factual accuracy and conversational tone: empathy under pressure, channel-appropriate register (voice vs. chat), and clarity without over-promising. What we look for This opportunity is a good fit for professionals with a background in customer service, banking, or financial services who are open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Finance, Business Administration, Economics, Communications, Psychology, Marketing, or any related field; 2+ years of customer service, banking, retail, or financial services experience; Current or recent experience in customer service & support, or banking & financial roles, or adjacent roles; Routing judgment — clear instinct for what is and isn't servicing's scope, and ability to read a fee schedule or policy document to identify which rule applies to a specific situation; QA analyst, call-center trainer, or conversation
