Role Description We are seeking a dependable and detail-oriented Remote Data Entry Assistant to support daily administrative and data management operations. The ideal candidate will accurately enter, update, and verify information across company systems while maintaining confidentiality and meeting productivity and accuracy standards in a remote work environment. - Enter, update, and maintain data in company databases, spreadsheets, and CRM systems. - Verify information for accuracy and correct errors or inconsistencies. - Organize and maintain electronic records and digital files. - Perform routine data quality checks and generate basic reports as requested. - Assist with document processing, file management, and other administrative tasks. - Maintain confidentiality of sensitive customer and company information. - Meet daily productivity and accuracy goals. - Communicate with team members to resolve data discrepancies and support workflow improvements. Qualifications - High school diploma or equivalent required; Associate's degree preferred. - 0–2 years of experience in data entry, administrative support, or clerical work preferred. - Typing speed of 45+ WPM with strong accuracy. - Proficiency in Microsoft Office (especially Excel), Google Workspace, and basic database systems. - Strong attention to detail, organization, and time management skills. - Ability to work independently in a remote environment. - Reliable high-speed internet connection and a dedicated home office. Benefits - Competitive hourly pay - Health, dental, and vision insurance - 401(k) with company match - Paid time off and company holidays - Flexible remote work schedule - Paid training and professional development - Home office equipment stipend - Employee assistance program (EAP) - Performance-based bonuses - Career advancement opportunities

• Work on the core engine behind a production AI assistant • Focus on retrieval, LLM orchestration, and answer quality • Evolve AI-powered customer support from answering questions to executing requests • Safely perform actions like placing orders or activating services in a regulated telecom environment

• Garantizar la integridad, precisión y veracidad de los datos recopilados de diversas fuentes de la compañía. • Analizar reportes operativos y dar soporte a las necesidades de estructuras de datos. • Validar, auditar y procesar datos para la entrega de pre-cierres, cierres y actualizaciones diarias. • Colaborar con el equipo de ingeniería para optimizar el código (SP) y agilizar el procesamiento de la información. • Colaborar con el equipo de nómina para calcular horas de los colaboradores de manera eficiente.

• Design and build scalable data pipelines to ingest, transform, and curate data from APIs, databases, files, and event streams. • Lead technical design reviews and translate complex business needs into enterprise-grade data solutions. • Develop and optimize advanced data models (dimensional, data vault, domain-driven, canonical) to support analytics, BI, and productized datasets. • Champion SDLC best practices, continuous delivery, and infrastructure automation using CI/CD and Infrastructure as Code. • Optimize complex distributed workloads using SQL, Python; mentor others on tuning and scalable design patterns. • Build reusable data frameworks, libraries, and reference architectures to accelerate team productivity and platform adoption. • Perform root-cause analysis for major data incidents, lead long-term remediation, and drive operational reliability improvements. • Provide technical mentorship, guide code reviews, and help shape engineering capability maturity. • Collaborate with Architects, Data Leads, Product Owners, and cross-functional engineering teams to define long-term data strategies. • Perform other duties as assigned.