Hybrid AI & Data Apprenticeship Tutor & Assessor

Reed; Grimsby; Hybrid; GBP 34,000 - 37,000; Full time

Benefits offered by this job

Hybrid working

Further training opportunities

Flexible delivery model

Job summary

Reed is seeking a Programme Tutor Assessor (AI & Data) to deliver and assess learners on the Data Technician and AI & Automation Apprenticeship Standards. The role is hybrid, with centre-based and online delivery across Hull/Grimsby and flexible to meet employer and learner needs.

The ideal candidate has practical Data or AI experience, a teaching qualification (or willingness to work towards one) and a proven track record in high‑quality teaching and assessment.

Qualifications

• Teaching qualification or willingness to work towards one.
• Experience in delivering apprenticeships or similar programmes.
• Strong knowledge of Data or AI & Automation disciplines.

Responsibilities

• Deliver high-quality teaching, learning and assessment through face-to-face and online methods.
• Support and guide apprentices throughout their learning journey.
• Conduct learner reviews, set targets and monitor progress.
• Maintain strong relationships with employers and stakeholders.
• Ensure compliance with awarding body and funding requirements.
• Maintain accurate learner records and produce reports as required.
• Contribute to quality assurance and continuous improvement activities.
• Support learner recruitment and programme development.

Skills

Data analysis

AI & Automation

Teaching & assessment

Apprenticeships

Stakeholder management

Education

Teaching qualification (DTLLS, Cert Ed, or Level 5 Diploma in Education)

Willingness to work towards teaching qualification

Tools

Power Automate

Zapier

Make

Job description

Reed is seeking a Programme Tutor Assessor (AI & Data) to deliver and assess learners on the Data Technician and AI & Automation Apprenticeship Standards. The role is hybrid, with centre-based and online delivery across Hull/Grimsby and flexible to meet employer and learner needs.

The ideal candidate has practical Data or AI experience, a teaching qualification (or willingness to work towards one) and a proven track record in high‑quality teaching and assessment.