Rapid eLearning Programmer – Level 2
National Research Council of Canada (NRC)
via CanadaBuys
National Research Council of Canada (NRC)
via CanadaBuys
National Research Council of Canada (NRC) is seeking vendors for: 7.7 Rapid eLearning Programmer – Level 2. For complete details including scope, requirements, and submission instructions, please visit the original source link below.
Review, modify and transform training from PowerPoint format to SCORM 1.2 format. The length of the courses should not exceed one hour, with a maximum of ten questions for the exam. The number of trainings to be converted is as required. Show more description Show less description Contract duration The estimated contract period will be 47 month(s), with a proposed start date of 2026/11/01. Trade agreements Please refer to tender description or tender documents Reason for limited tendering A contracting officer can use limited tendering for specific reasons outlined in the applicable trade agreements. The reason for this contract is described below: None Partner with another business The functionality to add your company name to the list of interested businesses is temporarily unavailable. --> Are you interested in partnering with other businesses for this opportunity? Add your company to the list of businesses who are interested in partnering . This list does not replace or affect the tendering procedures for this procurement process. Businesses are still required to respond to bid solicitations, and to compete based on the set criteria. For more information please read the Terms of use .
This bid is 76% technology related
Highly relevant to the tech industry
This is a genuine technical e-learning production service involving programming and conversion of PowerPoint training into SCORM 1.2 packages. It is somewhat ambiguous because the work may also include non-IT instructional content development, so it merits review.
Deadline: Sep 17, 2026 at 12:00 AM ET
Always verify deadlines on the original source.
Is the original source link not working? Let us know so we can fix it.
We use automated analysis to classify bid information. Please verify details at the original source.
Ref No.
TB-098736