Role Description We are seeking a dedicated and diligent Data Entry Clerk to join our team. The job holder will be responsible for maintaining our database by entering new and updated customer and account information. Our ideal candidate has essential data entry skills, like fast typing with an eye for detail and familiarity with spreadsheets and online forms. Previous experience as a data entry clerk or similar position will be considered an advantage. - Prepare, compile and sort documents for data entry - Check source documents for accuracy and verify data and correct data where necessary - Obtain further information for incomplete documents - Enter data from source documents into prescribed computer database, files and forms - Transcribe information into the required electronic format - Scan documents into document management systems or databases - Check completed work for accuracy Qualifications - A High School degree or equivalent is a must. A college degree or relevant certification is a plus. - Proven data entry work experience, as a Data Entry Operator or Office Clerk - Experience with MS Office and data programs - Familiarity with administrative duties - Experience using office equipment, like fax machine and scanner - Typing speed and accuracy - Excellent knowledge of correct spelling, grammar and punctuation - Ability to perform repetitive tasks with a high degree of accuracy - Comfortable working independently with minimal supervision Company Description We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity.

• Accurately input and update data in company systems and spreadsheets • Verify and cross-check data for completeness and accuracy • Organise and maintain digital records and databases • Generate basic reports and summaries for the UK team • Flag discrepancies and escalate issues to the relevant team member

Role Description We are seeking a highly organized and detail-oriented Remote Data Entry Clerk to join our team immediately. The ideal candidate will be responsible for accurately entering, updating, and maintaining information in our systems while supporting the organization’s mission to deliver quality care and services. - Accurately input, update, and maintain data in electronic databases and systems - Verify data for accuracy, completeness, and consistency - Retrieve and review information as requested by management or staff - Maintain confidentiality of sensitive information in compliance with HIPAA and organizational policies - Assist with generating reports and compiling data as needed - Support the administrative team with additional clerical tasks as required Qualifications - High school diploma or equivalent required; Associate’s degree preferred - Proven experience in data entry or administrative support - Excellent typing skills with strong attention to detail and accuracy - Proficiency with Microsoft Office Suite (Word, Excel) and database systems - Strong organizational and time management skills - Ability to work independently and remotely with minimal supervision - Commitment to maintaining confidentiality of sensitive data Benefits - Competitive pay - 100% remote work flexibility - Opportunities for professional growth and development - A mission-driven, supportive team environment

Role Description We are sharing a specialised part-time consulting opportunity for professionals experienced in network engineering, infrastructure logs, telemetry review, network configuration analysis, anomaly identification, and structured technical data annotation workflows. This role supports current and upcoming remote consulting opportunities focused on structured network data review, infrastructure event analysis, telemetry classification, configuration assessment, data labeling, and high-quality project execution. Selected professionals will apply their network engineering expertise to review realistic infrastructure data, identify patterns and anomalies, prepare structured annotations, and support accurate, evidence-based network data workflows. Key Responsibilities - Network Data Review & Annotation - Review network-related data such as logs, configurations, telemetry, event streams, alerts, and time-series metrics. - Label and classify network behaviors, issues, anomalies, system states, and infrastructure events based on provided guidelines. - Support structured annotation workflows for large-scale network and infrastructure datasets. - Identify recurring patterns, unusual behaviors, missing context, and expected classification outcomes. - Infrastructure Configuration & Event Analysis - Review enterprise network scenarios involving switches, access points, firewalls, routing behavior, connectivity issues, and configuration states. - Interpret logs, events, metrics, and configuration details to support accurate technical classification. - Evaluate network data against source materials, expected behavior, and documented infrastructure rules. - Prepare clear written explanations for network observations, classifications, and technical decisions. - Data Pipeline & Schema Support - Support schema definition and structured data organization for network telemetry and infrastructure data workflows. - Review how raw infrastructure data is categorized, normalized, and prepared for downstream technical use. - Collaborate through structured review processes involving network events, data pipelines, and annotation standards. - Maintain accuracy, consistency, and professional judgment across submitted work. Qualifications - Experience working as a network engineer, infrastructure engineer, network operations specialist, systems engineer, or related technical professional. - Hands-on experience with enterprise networks, including switches, access points, firewalls, routing, wireless infrastructure, or network monitoring. - Comfort interpreting logs, events, telemetry, alerts, configurations, and time-series metrics. - Strong ability to identify network behaviors, operational issues, anomalies, and infrastructure patterns. - Interest in structured data workflows, annotation, data pipelines, or autonomous infrastructure systems. - Clear written communication skills and ability to explain technical reasoning clearly. Educational Background - A degree or professional background in network engineering, computer science, information technology, systems engineering, cybersecurity, telecommunications, or a related technical field is helpful. - Equivalent practical experience in network operations, enterprise networking, infrastructure support, telemetry review, or technical annotation work is also highly relevant. Nice to Have - Experience with enterprise networking environments, NOC workflows, observability tools, cloud networking, or infrastructure monitoring. - Familiarity with Cisco, Juniper, Arista, Meraki, Fortinet, Palo Alto, Ubiquiti, Aruba, or similar networking technologies. - Experience with logs, metrics, event streams, schema definition, data labeling, or annotation workflows. - Familiarity with data pipelines, machine learning input preparation, or technical dataset review. - Ability to work accurately across sustained review workflows requiring careful attention to detail. Why This Opportunity - Apply network engineering expertise to structured remote data annotation and infrastructure review work. - Contribute to high-quality network telemetry classification, log review, and technical data organization. - Work on flexible, project-based assignments aligned with your networking background. - Use your infrastructure judgment in a focused, detail-oriented technical environment. - Remote structure with competitive hourly compensation. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Part-time or extended weekly commitment depending on project availability. - Competitive rates between $55–$80 per hour depending on expertise. - Weekly payments via Stripe or Wise. - Projects may be extended, shortened, or adjusted depending on scope and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution.