Trillectra AI is looking for a part-time Trainer to deliver its 16-week Generative AI programme to its first cohort of final-year university students and recent graduates. The material is written and runs on Vecorra, Trillectra's learning platform, with every lesson paired to a lab in JupyterLab. Your job is to bring it to life in live online sessions, keep learners on track between sessions and make sure they finish with skills they can use in a job.
Terms
Part-time, initially for one 16-week cohort, with the possibility of extension to further cohorts subject to funding and performance.
Delivered remotely from anywhere in the UK, with sessions held online. Paid at £35 to £50 an hour depending on experience, for an agreed number of hours each week. Hours and start date are agreed with the successful candidate.
Responsibilities
- Lead the weekly live sessions: introduce the topic, walk through the worked example and run the lab with the cohort.
- Support learners between sessions on the platform: answer their messages, post announcements to the cohort, help with notebooks that are not working and keep the cohort on track. An AI tutor handles the first question in every lesson and lab, so your time goes on the learners who are stuck.
- Mark the capstone and the employer project against the published rubric and give feedback learners can act on.
- Flag material that needs updating as models, APIs and prices change.
- Report progress and attendance to the Programme Lead.
Experience and skills
- Two or more years building with large language models: prompting, structured outputs, retrieval-augmented generation and at least one agent or tool-calling system that was used in a real setting.
- Confident Python, Git and the command line, and the composure to debug someone else's notebook live, in front of learners.
- Proficient in AWS, able to help learners deploy a small FastAPI service with Bedrock, ECR, CloudWatch and IAM.
- Experience teaching, mentoring or running workshops for students or early-career learners, and the patience to explain the same idea in more than one way.
- Able to explain evaluation, prompt injection and UK data protection clearly, as they apply to real systems.
- LangChain or LangGraph
- Teaching online
- Working with final-year students or recent graduates
The programme
About 85 programme hours over 16 weeks, Around 5 hours a week
The curriculum includes 183 lessons and 93 practical labs covering Python and API foundations, prompting and structured outputs, retrieval, fine-tuning, agents, evaluation, safety and governance, and AWS deployment. Learners finish with a capstone and a team employer challenge. Optional case studies and stretch exercises add more for those who want it.
Privacy notice: how we use your application data
- Who we are. Trillectra AI is the controller of the personal data you send us.
- What we collect. Your name, contact details, location, CV, answers and any links or notes you add.
- Why. To assess your application, contact you and, if you are shortlisted, arrange the panel lab. Our lawful basis is taking steps at your request before a possible contract, and our legitimate interest in recruiting fairly.
- Who sees it. The Trillectra AI hiring team only. Your application is sent by email and held in our Microsoft 365 mailbox, which is provided by Microsoft as our email service provider. We do not sell it or use it for marketing.
- How long. If you are not successful we delete your application and CV within six months of the closing date. If you are appointed, it becomes part of your engagement record.
- Your rights. You can ask to see, correct or delete your data, or object to how we use it, by emailing info@trillectraai.co.uk . You can also complain to the Information Commissioner's Office (ico.org.uk). See our Privacy Policy .
Selection process
We review applications after the closing date. Shortlisted candidates will be contacted by email and invited to teach one programme lab to a small panel.
Equal opportunities
Trillectra AI is an equal-opportunities employer and welcomes applications from all backgrounds.
Funded through TechFirst. This programme is funded by the UK Government through the TechFirst programme, with Innovate UK acting as the delivery partner responsible for administering the grant.
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