VAARADA / CURRENT OPENING
Technical Trainer — AI & Machine Learning
Help Learnerslate students connect technical concepts with practical work in the 110-week undergraduate curriculum and 27-week graduate fast-track curriculum.
What you will do
What you will do
- Deliver clear live sessions and practical demonstrations aligned with the curriculum.
- Prepare exercises, assessments and feedback that help learners improve.
- Review learner projects, explain debugging and guide capstone work.
- Maintain learning resources and collaborate with the Learnerslate team.
- Guide model experiments and working AI applications.
- Teach evaluation, limitations and responsible integration through projects.
What you bring
What you bring
- Python, machine learning, neural networks, LLM integration, embeddings, RAG, agents and AI evaluation.
- Practical subject knowledge and the ability to explain technical ideas clearly.
- Relevant project work and teaching or mentoring evidence.
What to share
What to share
- A resume and links to relevant projects or repositories.
- A short teaching sample or topic you could demonstrate.
- Your preferred specialisation and availability.
CAREER QUESTIONS
Before you apply.
Are Hybrid and Remote arrangements available?
Yes. Current openings list Hybrid and Remote arrangements. Confirm the arrangement and any office attendance expectations for your role with the hiring team.
What should technical trainers share?
Share your preferred specialisation, relevant technical projects and a teaching sample or topic you can demonstrate. The roles are aligned with Learnerslate's undergraduate and graduate curricula.
How do I send my resume?
Visit the Apply page, choose a role and upload a PDF or DOCX resume of up to 5 MB. After submitting, keep your application reference.
Are internships and graduate roles currently open?
Only roles on the Open Positions page are published vacancies. You can send an expression of interest for other opportunities; availability and terms are confirmed separately.
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