AFL is a leader in the infrastructure landscape, delivering engineering, construction, and field services for critical infrastructure providers across Canada and the U.S. Our highly skilled and experienced professionals, design, build, connect, and maintain the critical systems and networks that power modern communities and industries — keeping people, businesses, and services seamlessly connected. From our roots in telecommunications, where we are recognized as trusted experts with a proven track record of delivering large-scale, end-to-end, high-impact projects for Canada's largest telecommunications providers, to servicing and maintaining water and power meter systems, AFL Network Services ensures critical infrastructure and systems are expertly deployed and maintained. Currently we are hiring for a full-time Production Data Administrator. Job Description Under the guidance of the Manager of Administration and Data Integrity, the Production Data Admin is responsible for entering and validating timecards and orders to ensure accurate timecard submissions for all assigned Technicians, thus ensuring accurate pay for technicians. The Production Data Admin will be responsible for document control, data corrections, and validation of completed job orders as reported in both AFL and client systems. In addition, the incumbent may be required to support Field Technicians with expense management. Responsibilities - Ensure timesheets for assigned Technicians and Manager approvals are submitted on time and if required, follow-up to ensure submission prior to deadline - Identify missing entries and escalate to Manager level to ensure completion - Verify Technician job order entries in AFL and client systems to ensure alignment - Validate Technicians completed tasks and complete accurate data entry into relevant systems or spreadsheets - Correct Technician(s) time entry issues prior to uploading into corporate financial system - Advise Technician(s) and other relevant stakeholders of discrepancies and errors to ensure accurate records - Maintain and update master list of Technicians and Associated Managers to ensure up-to-date reporting lines - Complete various reports as required - Address Technician pay issues and re-open orders if required to process necessary corrections - Manage daily emails and calls from Technicians and other departments and provide answers and support accordingly - Participate in team meetings to review projects, processes and status updates - Provide back-up support for team members, as required - Provide support to field employees on time entry, expense procedures and customer timesheets - Provide onboarding support and training for new hires related to business unit procedures - Complete ad hoc administrative projects as requested - Enhance Organization reputation by accepting ownership for accomplishing requests and exploring opportunities to add value to job accomplishments - Adhere to and promote the environmental, health & safety policies of AFL - Perform other duties as requested, directed or assigned Personal Qualities - Flexible – open to change & new information and rapidly adapts to changing conditions or unexpected obstacles - Detail oriented – excellent attention to detail with the ability to follow through on assigned tasks - Data entry accuracy – ensures quality and precision of data entry on a consistent basis - Independent - ability to work well under limited supervision - Analytical Thinking/Problem Solving - capable of complex reasoning analysis - Results focused – driven to achieve - Interpersonal skills – able to collaborate on projects, maintain effective relationships, and communicate clearly at all levels of the business - Adaptability - capable of working in a fast-paced environment, adapt to various situations, and prioritize multiple work assignments simultaneously - Team Player skills - Possess strong commitment to team environment dynamics with the ability to contribute expertise and follow leadership directives at appropriate times Qualifications - 1+ year experience with supporting multiple managers preferred - Superior customer service skill - Previous experience with programs/software related to invoicing, production accounting, transactional reporting and payroll/time tracking - Working knowledge of Microsoft Office Suite, including Excel Working Conditions - Work from home – remote office team - General hours of Sunday through Thursday 8:00am to 4:30pm Why AFL? AFL is a global leader in the telecommunications industry, providing cutting-edge network technology and solutions to customers around the world. At AFL, we’re committed to diversity and inclusion, recognizing that our team members’ unique contributions help us provide superior service and create better solutions. We provide best-in-class training to ensure you have everything you need to succeed and grow. Additional Perks: - Competitive Salary + up to 4% RRSP matching contribution. - Paid annual vacation. - Access to medical, dental, vision and health and extended health - Access to EFAP (Employe Family Assistance Program) - Annual merit increases - Excellent on the job training and professional development opportunities - A supportive and diverse team environment - Opportunity to work in a dynamic, rapidly growing industry. AFL offers you the chance to grow your career with a leader in the field while being part of a team that values innovation, safety, and continuous learning. We welcome diversity and encourage individuals of all backgrounds to apply! We provide reasonable accommodations for individuals with disabilities. If you need accommodations during the application process, contact NS-Recruitment@AFLGlobal.com. We are an equal opportunity employer and value diversity, not discriminating based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

Role Description Alliance Laundry Systems is looking for a Senior Data Analyst who can bridge the gap between traditional BI reporting and a modern, AI-forward data stack. This role sits at the center of our analytics transformation, owning reporting and analysis while participating in our migration toward Sigma Computing, Snowflake, and Python-based tooling. - Design, develop, and maintain Power BI reports and dashboards that deliver clear, actionable insights to business stakeholders across operations, sales, finance, and product. - Partner with business leaders to understand data needs and translate them into well-structured, sustainable analytical solutions. - Participate actively in our migration to Sigma Computing and Snowflake, contributing to the design of semantic layers, data models, and reporting standards on the new platform. - Write and maintain SQL transformations and dbt models to support reliable, governed data pipelines. - Leverage AI tools, including Claude / Anthropic AI, to accelerate analysis, automate insight generation, and explore new approaches to data storytelling. - Collaborate with Data Engineers to ensure report-ready datasets are accurate, performant, and well-documented. - Proactively identify opportunities to improve data quality, streamline existing reports, and reduce manual analytical work across the organization. Qualifications - Bachelor’s degree in Data Science, Analytics, Computer Science, or a related field preferred. - 3+ years of experience in a data analyst, BI developer, or similar role with demonstrated ownership of reporting solutions. - Strong proficiency with Power BI, including data modeling, DAX, and report performance optimization. - Solid SQL skills with experience querying and transforming data in enterprise environments. - Familiarity with cloud data warehouse concepts; hands-on Snowflake experience is a strong plus. - Exposure to dbt, Python (pandas, notebooks), or other modern data transformation tooling is highly desirable. - Genuine curiosity about AI tools and their application to analytics — you have experimented with LLMs in your workflow, not just heard of them. - Strong written and verbal communication skills; able to present findings clearly to non-technical audiences. - Detail-oriented with a high bar for data accuracy and documentation. Requirements - Experience with Sigma Computing or similar cloud-native BI tools. - Background in data engineering: pipeline development, orchestration (Airflow, dbt Cloud), or API integrations. - Experience in a manufacturing, industrial, or B2B commercial environment. - Familiarity with Anthropic Claude, prompt engineering, or AI-powered data workflows. Benefits - Ability to travel domestically as needed, no more than 10% of the time. Standard and Physical Requirements - Position involves sitting long periods, standing, manual dexterity, stooping, bending and minimal lifting. Alliance Team Members Demonstrate DRIVE - Dedicated: Follows through on commitments. Strong say/do. - Respectful: Acts with integrity and values diverse perspectives. - Innovative: Always looking for a better way; leads change. - Versatile: Adapts quickly to changing circumstances. Demonstrates agility. - Engaged: Acts like an owner. Wants to create and grow a business which is tightly aligned with market needs. EEO We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. ID 2026-11784 Pos. Type Full-Time

Role Description A Vitru Educação está em busca de professor(a)-autor(a) para atuar na revisão técnica, validação acadêmica e curadoria conceitual da disciplina ANÁLISE DE DADOS CLÍNICOS E EPIDEMIOLÓGICOS do curso Pós-Graduação em Inteligência Artificial Aplicada à Saúde, na modalidade pós-graduação EAD. Sobre a atividade: - Curadoria e validação de conteúdo - Revisão técnica de 3 temas (20 a 30 laudas cada) - Análise de atualidade conceitual, linguagem e adequação ao público - Conferência e eventual complementação de referências - Realização de ajustes diretamente no material (não apenas sugestões) - Atividades avaliativas e complementares - Validação de 3 questões de autoestudo por tema - Revisão e validação de 15 questões objetivas por tema - Validação de materiais complementares (1 estudo de caso + 10 questões) - Validação de roteiros e gravação de 3 videoaulas (10 a 15 minutos cada) EMENTA DA DISCIPLINA: Bioestatística e Machine Learning em dados estruturados. Predição de desfechos clínicos. Análise de sobrevivência. Qualifications - Pós-graduação lato ou stricto sensu – Especialização, Mestrado ou Doutorado na área da disciplina* - Familiaridade com Google Docs e/ou Word - Organização, gestão de prazos e clareza na escrita - Experiência prévia na produção de livros ou materiais educacionais será considerada um diferencial - Graduação em Ciência da Computação, Ciência de Dados, Engenharia Biomédica, Medicina, Biomedicina, Enfermagem, Farmácia ou áreas correlatas - Especialização e/ou Mestrado em Inteligência Artificial, Saúde Digital, Bioinformática, Engenharia Biomédica, Informática em Saúde, Análise de Dados em Saúde ou áreas afins Benefits - Atividade 100% home office - Acompanhamento especializado durante todas as etapas - Publicações com registro de ISBN - Desenvolvimento de competências autorais digitais - Visibilidade nacional e reconhecimento acadêmico Company Description A Vitru Educação é a maior instituição privada de ensino EAD do Brasil e referência nacional do ensino presencial e Medicina. Juntos como Vitru, Unicesumar e Uniasselvi, nos dedicamos ao desenvolvimento individual e coletivo. Nossa prioridade é o aprendizado, fazemos do conhecimento um estilo de vida! Se quiser saber mais sobre a Vitru e suas marcas Unicesumar e Uniasselvi, acesse nosso site: https://www.vitru.com.br/ .

Role Description This role is structured as an Entry-Level (L1 – Foundational Scope) position, which refers to the type of tasks and level of complexity, not the candidate’s overall experience or capability. - Tasks are clearly defined, guideline-driven, and execution-focused, designed for high-volume, standardized work. - While the task complexity is entry-level, we maintain high language quality standards. - Candidates should have advanced proficiency (C1/C2 or equivalent) in the required language(s) to ensure accuracy and consistency. - We welcome applicants with more advanced experience (L2/L3); however, task scope and compensation for this role are aligned strictly to entry-level L1 responsibilities. Join a global AI language project supporting leading technology platforms. This is a flexible, entry-level opportunity to gain hands-on experience in AI data and language quality operations. - This role is part of an early-stage pilot program, where we are building a foundational team to support ongoing and future client initiatives. - We are actively building our initial team, and early contributors will be prioritized for ongoing work as the program expands. - All available work and budget are aligned with entry-level (L1) tasks, which are structured, execution-based, and designed for high-volume delivery. - This role is a starting point within a growing program, with potential for expanded opportunities based on project needs, performance, and budget. - Contributors who are active, reliable, and consistent will remain engaged within the project ecosystem as work continues to evolve. Qualifications - Advanced proficiency (C1/C2 or equivalent) in the required language(s). - Detail-oriented and able to follow instructions closely. - Interest in gaining experience in AI, data, and language operations. - Flexible and able to work with intermittent task availability. Requirements - Perform structured data and content reviews. - Execute quality checks (grammar, spelling, formatting). - Apply data labeling and tagging. - Follow client workflows and instructions. - Maintain accuracy and quality standards. - Incorporate feedback to improve performance. Benefits - Gain hands-on experience working on real AI and language data projects. - Build practical skills in data quality, annotation, and content review. - Flexible, remote work that fits around your schedule. - Opportunity to stay engaged in ongoing and future AI programs. - Visibility into higher-scope opportunities as projects expand. Engagement Type & Classification - This is a freelance, task-based engagement. - U.S. candidates: 1099 Contractor (project-based). - Non-U.S. candidates: Independent contractor via Deel. - Classification is determined by location and local compliance requirements. Onboarding & Compliance - Global contractors are onboarded through Deel. - U.S.-based workers are onboarded through Volga Partners’ payroll system. - Required documentation must be completed prior to starting. Compensation - Hourly compensation varies by country, language, and experience level. - Peru, Portugal, Spain: $3 – $5 USD per hour (DOE). - Compensation aligns with entry-level (L1) task scope and local market conditions. Important Notes - This role is designed for supplemental, flexible engagement. - No guaranteed minimum hours. - No guaranteed end date. - Tasks are offered first-come, first-served. - While advancement is not guaranteed, future opportunities may evolve based on project needs, performance, and budget. Who You Are - You have advanced proficiency (C1/C2 or equivalent) in the required language(s). - You are comfortable working on structured, guideline-based tasks.