Teaching Assistant - MGSC 673
Bronfman Buildingonsite
Posted yesterday · via Workday
About this role
Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Hiring Unit: Desautels Course Title: Intro to AI and Deep Learning Course Code: MGSC 673 Estimated Number of Positions: 1 Total Hours of Work per Term: 90 Hiring Unit: Desautels Course Title and Course Number: Intro to AI and Deep Learning MGSC 673 Estimated Number of Positions: 1 Total Hours of Work per Term: 90 Position Summary: Updating the course material. Conducting help sessions for specific concepts.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: workday
2
Level fit
We check your title trajectory against the seniority signal of the role.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Bronfman Building. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
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