
11 - 50 employees
Founded 2018
💼 Consulting
🎯 Recruiter
👥 HR Tech
Consulting • Recruitment • HR Tech
<C9 Teams> is an AI-driven offshore hiring and managed staffing company that connects businesses with vetted remote professionals and manages the entire hiring lifecycle. They provide staff selection using AI matching, end-to-end onboarding, payroll and compliance management, time tracking and performance oversight, and dedicated success/account managers to run day-to-day operations. C9 Teams targets businesses looking to scale with offshore talent, offering a platform/dashboard for real-time hiring updates and flexible engagement terms.
🔥 1 minute ago
🇦🇺 Australia – Remote
⏰ Full Time
🟢 Junior
🟡 Mid-level
🤖 Artificial Intelligence
🚫👨🎓 No degree required
👻 Ghost score 16%
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11 - 50 employees
Founded 2018
💼 Consulting
🎯 Recruiter
👥 HR Tech
Consulting • Recruitment • HR Tech
<C9 Teams> is an AI-driven offshore hiring and managed staffing company that connects businesses with vetted remote professionals and manages the entire hiring lifecycle. They provide staff selection using AI matching, end-to-end onboarding, payroll and compliance management, time tracking and performance oversight, and dedicated success/account managers to run day-to-day operations. C9 Teams targets businesses looking to scale with offshore talent, offering a platform/dashboard for real-time hiring updates and flexible engagement terms.
• Identify business processes that can be improved or automated using AI and workflow automation tools • Design, build, test, and maintain automated workflows using Make, Zapier, n8n, Microsoft Power Automate, or similar tools • Integrate AI models and services, including large language models (LLMs), into business applications and operational workflows • Develop AI-powered solutions for document processing, data extraction, content generation, customer support, lead qualification, and reporting • Connect applications and systems using APIs, webhooks, and third-party integrations • Use Python, JavaScript, or other programming languages to develop custom automation scripts when necessary • Evaluate and recommend AI tools, automation platforms, and technologies based on business needs • Monitor automation performance, troubleshoot errors, and optimize workflows for accuracy, speed, and cost efficiency • Implement data validation, error handling, access controls, and safeguards for reliable and responsible AI use • Document workflows, technical processes, system configurations, and standard operating procedures • Collaborate with operations, marketing, sales, IT, and other teams to implement automation solutions • Stay updated on emerging AI technologies, automation platforms, and industry best practices • Coordinate with relevant teams to ensure automation meets business requirements • Obtain approval before implementing major system changes or high-impact automated decisions • Escalate complex technical issues, security risks, and system failures to the appropriate team
• Typically 2–4 years of experience in workflow automation, software development, systems integration, or a related technical role, with practical AI implementation experience • Ability to use AI models and APIs to automate tasks and improve business processes • Proficiency in tools such as Make, Zapier, n8n, or Microsoft Power Automate • Ability to connect different applications and automate data exchange between systems using APIs and webhooks • Basic to intermediate knowledge of Python or JavaScript for custom automation and scripting • Ability to create and optimize prompts to produce accurate, consistent AI outputs • Understanding of JSON, spreadsheets, databases, and data validation • Ability to identify errors, debug workflows, and ensure automation runs reliably • Ability to connect CRMs, email platforms, databases, and project management systems • Understanding of data protection, access controls, and responsible AI implementation • Prior experience implementing AI automation solutions, integrating APIs and business applications, and building workflows using no-code or low-code automation platforms is highly desirable
• Training and support • Onboarding and training on the company's AI tools, automation platforms, business systems, and internal workflows • Access to relevant documentation, learning resources, and technical guidance for AI and automation technologies • Support during testing, deployment, troubleshooting, and ongoing optimization of automation workflows • Continuous learning on emerging AI tools, automation practices, data security, and responsible AI usage
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