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Open nowPosted today

Artificial Intelligence for Built Environment / Facilities Management Associate Trainer

NTUC LEARNINGHUB PTE. LTD.

Pay
SGD 480 – SGD 960 an hour
Where
Singapore
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Your applicationOpen nowArtificial Intelligence for Built Environment / Facilities Management Associate TrainerNTUC LEARNINGHUB PTE. LTD. · Singapore

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on NTUC LEARNINGHUB PTE. LTD.'s own form.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: posted today

The posting

Job Description

We are looking for Trainers to design and deliver training programs focused on Artificial Intelligence applications within the Built Environment and Facilities Management sector.

  • Training subjects include AI-Driven Process Improvement, Predictive Maintenance, AI for Smart Security Operations, AI Powered Sustainability Reporting
  • Deliver F2F or VLC training sessions for adult learners, including professionals, managers, and executives (PMETs).
  • Able to contextualize latest information into course materials and conduct hands-on workshops.
  • Review learner assignments and project work, providing constructive feedback and guidance to help them meet course objectives and industry expectations.
  • Ensure training delivery meet SkillsFuture frameworks criteria and are aligned with current industry needs.

Job Requirement

  • Degree/ Diploma in Engineering, Facilities Management, Computer Science, or related disciplines.
  • Relevant certification in the field of Learning & Development such as ACLP or equivalent pedagogical certification.
  • Minimum 3-5 years of relevant industry experience in Facilities Management, Building Operations, or related fields with subject matter knowledge in implementing or managing AI-driven solutions (e.g. predictive maintenance, IoT analytics, smart building platforms).
  • Demonstrate familiarity with Singapore Built Environment Landscape, including key stakeholders - BCA,JTC and government initiatives (e.g. Smart FM, Green Plan 2030).
  • Possess excellent communication skills with the ability to translate complex technical concepts into practical and engaging lessons.

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