Ultimahub is expanding its trainer network for Low-Code / No-Code Tools and is looking for a credible Corporate Trainer who can support assignments linked to Riyadh and wider regional demand.

Position Summary

The work is likely to involve practical corporate learning, facilitation, and knowledge transfer rather than purely theoretical instruction. We are prioritising trainers who can keep sessions structured, commercially relevant, and aligned with the client brief.

This scheduled role is suited to a delivery-focused trainer with hands-on Low-Code / No-Code Tools credibility and experience working with professional teams, managers, and cross-functional business users across Asia. The work centres on practical application, learner confidence, and helping clients translate emerging AI capability into practical business use and team-level adoption.

What Success Looks Like

The expected delivery mode for this brief is Hybrid, and the role should be approached as a One-Off Assignment requirement.

• Maintain strong session control, learner engagement, and professional delivery standards across preparation and live facilitation.
• Coordinate effectively with client stakeholders and internal contacts on objectives, timelines, and expected learner outcomes.
• Translate complex ideas into practical guidance, examples, and decision-making frameworks that participants can use in the workplace.
• Support participants with examples, clarifications, and implementation guidance that reduce the gap between theory and day-to-day application.
• Refine materials where needed so the programme remains current, usable, and appropriate for the target audience.
• Adapt delivery to the client brief, participant seniority, and the sector context without losing clarity or pace.

Who This Would Suit

Clear subject-matter credibility in Low-Code / No-Code Tools; prior exposure to multinational or enterprise audiences; commercial understanding of AI tools, business application scenarios, and safe adoption practices; confident supporting learners with practical examples, tools, and Q&A.

• Confidence working with client stakeholders and adjusting delivery to different business contexts, sectors, and learner groups.
• Previous experience delivering training, workshops, facilitation, coaching, or advisory work for professional audiences.
• Proven subject-matter credibility in Low-Code / No-Code Tools with evidence of practical business or corporate application.
• Availability for project-based work linked to Riyadh, Saudi Arabia, and wider Asia where relevant.

Best suited to professionals with backgrounds in AI adoption, automation, digital transformation, or business technology enablement, ideally with experience working with multinational clients or enterprise teams in Asia.

How To Apply

Suitable candidates should apply with a concise summary of relevant expertise, client-facing delivery experience, and current availability for assignments of this nature.