Role Description We’re looking for a highly organized and dependable Operations Coordinator, AI & Automation to join our team. You will support the Production team by taking ownership of admin and coordination-driven work so producers can focus on instructor relationships and product development. This job is for you if you are: - Have experience using AI tools and building automations - A highly organized and detail-oriented person who enjoys bringing structure to complex workflows - Quick to learn and comfortable picking up new processes, tools, and systems - Reliable with follow-through and able to manage coordination-heavy work with consistency - Proactive with reminders, follow-ups, and flagging blockers before they become issues - Able to juggle multiple timelines at once - A collaborative team player who enjoys supporting others and helping operations run smoothly Responsibilities - Support relaunch planning and coordination across teams, including timelines, task tracking, and internal handoffs - Coordinate cross-launch and cross-sell setup to ensure dependencies are covered - Assist with legal and documentation workflows by collecting inputs, preparing drafts, organizing files, and tracking signature status - Create first drafts of supporting materials such as comparison sheets, brochures, employer guides, and other course resources - Own reminders, follow-ups, and recurring admin tasks across the course lifecycle - Prepare draft recommendation letters and route them for final review and approval - Help improve consistency and efficiency in how Production workflows are managed Qualifications - 6+ months of experience in operations, coordination, administration, project support, or a similar role - Experience using AI tools and building automations, with a willingness to actively explore and implement AI tools and automations in day-to-day work - English proficiency at a B2 level - Strong organizational skills and close attention to detail - Ability to manage multiple tasks and timelines with reliability and accuracy - Comfort working independently with minimum supervision Benefits - Competitive Salary and Bonuses: We value your contributions and offer competitive compensation and performance-based incentives. - Comprehensive Benefits: Enjoy gym membership reimbursements, mental health benefits, generous vacation allowances, and complimentary access to all our courses. - Flexible Work Environment: Work remotely with a schedule that accommodates your personal and professional needs. - Growth Opportunities: Join a company committed to your professional development, offering abundant opportunities for career advancement. Company Description - Innovative Culture: Be part of a team that values creativity, collaboration, and intellectual curiosity. - Impactful Work: Contribute to a mission that is reshaping the future of online education. - Professional Development: Take advantage of learning opportunities and growth prospects within a forward-thinking company. If you are a detail-oriented professional ready to contribute to a leading online education platform, we encourage you to apply. Elevate your career with ELVTR. ELVTR is committed to providing equal opportunities and fostering a diverse, inclusive environment for all, whether you join us as an employee or a contractor.

AI Data Annotation Specialist Global Freelance Role, Flexible Hours Working Hours: Flexible schedule, up to 10 hours/day and 40 hours/week Duration: Through December 2025 About the Role Help shape the future of AI! We're seeking detail-oriented freelancers to join a global AI data annotation project. As an AI Data Annotation Specialist, you'll annotate, label, and curate data that powers advanced machine learning models. Your worktagging images, labeling text, or collecting documentswill directly impact the accuracy and performance of AI systems used worldwide. Key Responsibilities - Annotate & Label: Tag, categorize, and review text, images, and documents. - Collect Data: Gather and organize high-quality datasets for AI training. - Ensure Quality: Review and validate data for precision and consistency. - Collaborate Globally: Work with an international team to hit project milestones. Flexible Hours - Work up to 10 hours per day, 40 hours per weekon your schedule. Qualification path Basic Requirements - Strong attention to detail and ability to follow precise instructions. - Reliable internet connection and ability to work independently. - Prior experience in data annotation or labeling is a plus but not required. - Basic understanding of AI or machine learning concepts is advantageous. - Strong proficiency in English for clear communication and reporting. Assessment To qualify, you will: - Complete an initial qualification assessment to demonstrate suitability for the role. - Provide ID verification for participation. Payment - Freelance rates range from $6$18 USD per hour, depending on experience, geographic location, and project requirements. - Payment is competitive and reflects the value of your contributions to AI training projects.

• Support the scalability, reliability, and operational performance of AI-enabled learning platforms and systems • Help design and optimise technical environments that support AI learning experiences, labs, workflows, and enablement programmes • Support integrations, automations, and operational workflows across learning and delivery ecosystems • Collaborate with product, operations, instructional, and technical teams to define platform and systems requirements • Contribute to platform optimisation, automation, and operational improvements • Support technical troubleshooting, issue resolution, and workflow problem-solving • Evaluate technical risks, dependencies, and scalability considerations across learning systems and environments • Help establish practical operational best practices for platform management and resilience • Support scalable learner experiences through effective systems design and operational workflows • Contribute to experimentation and continuous improvement across AI-enabled learning environments • Support technical documentation, implementation planning, and operational enablement where required

• Review and refine AI-generated outputs related to digital transformation, organizational change, technology adoption, and practical aspects of transformation processes • Evaluate AI responses for operational accuracy, practicality, and compliance with real-world requirements • Draft realistic digital transformation scenarios based on your direct professional experience • Create scenario variations from different perspectives (e.g. transformation manager, client, stakeholder, or vendor) • Identify gaps, oversights, or weak reasoning in AI-generated transformation content