• Provide L3 support for Temenos Infinity platform • Troubleshoot APIs and resolve issues in production environments • Collaborate with cross-functional teams to improve integration with core banking systems • Engage in incident management and contribute to problem resolution • Work on CI/CD tasks and manage releases

• Lead technical integration for new clients, translating their business requirements into platform configurations. • Diagnose and resolve complex issues related to performance, integrations, and system configurations. • Act as the 'voice of the customer', identifying recurring bugs and suggesting feature enhancements. • Provide high-touch support for existing clients, utilising AI-guided tools to accelerate resolutions while maintaining a human, empathetic touch. • Translate technical concepts into business-friendly language for stakeholders. • Document and escalate critical bugs to engineering while managing customer expectations throughout the fix lifecycle.

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Bilingual French STEM Expert Type: Contract Compensation: $38–$53/hour Location: Remote Duration: 3–6 months Commitment: 20+ hours/week Role Responsibilities - Design and optimize STEM-based prompts in French and/or English with scientific accuracy and clear instructions. - Define and document evaluation standards, creating rubrics that ensure scientific rigor and linguistic clarity. - Conduct model testing and grading, assessing outputs for scientific accuracy and reasoning quality. - Support benchmarking and quality assurance to maintain consistency and reliability across French-language benchmarks. - Collaborate in QA review processes to ensure prompt tasks and rubrics meet scientific standards. Qualifications - Native-level fluency in French (written), specifically native to Canada (French-speaking), Belgium (French-speaking), Switzerland (French-speaking), or France. - Strong reading and writing proficiency in English. - BS or BA in Biology / Physics / Chemistry. - Familiarity with undergraduate-level biology / physics / chemistry topics. - Strong writing and critical thinking skills. - Ability to work independently and meet deadlines. Requirements - 2+ years of experience in teaching, research, or an applied STEM discipline field. - Experience working with French-language STEM curricula or academic standards in Canada (French-speaking), Belgium (French-speaking), Switzerland (French-speaking), or France. Application Process - Complete a short AI-led interview (approximately 15 minutes). - If approved, complete a paid assessment focused on writing and rubric creation. - Then, if selected, you will be invited to work on the project. Resources & Support - For details about the interview process and platform information, please check: Interview Process . - For any help or support, reach out to: support@mercor.com . PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

• Own customer and partner issues end-to-end - from first contact through to resolution - adhering to defined SLA targets at every stage. • Investigate data mismatches, integration failures, and edge cases by reading logs, writing SQL queries, and reproducing issues in lower environments. • Implement safe, well-scoped fixes (e.g. configuration updates, data corrections, or small code changes) where appropriate, and escalate larger engineering work via Linear with clear context and reproduction steps • Serve as the primary triage layer between Intercom (customer-facing) and the engineering team, ensuring nothing falls through the cracks. • Be the first technical point of contact for embedded partners when integration issues arise - communicating clearly, with urgency, and in plain language. • Maintain a structured voice-of-customer tracker: log any recurring issues monthly, surface patterns, and present findings to product and engineering to drive long-term fixes. • Contribute to internal documentation and runbooks so that common issues can be resolved faster over time.