AI & Data Apprenticeship Tutor & Assessor

LXP Talent; Grimsby; Hybrid; GBP 34,000 - 37,000; Full time

Job summary

LXP Talent is recruiting a Programme Tutor Assessor to deliver Data Technician Level 3 and AI & Automation Level 4 Apprenticeship Standards. The role is hybrid, based around Hull/Grimsby, with flexibility in hours and a mix of teaching and assessor duties.

You will inspire learners, deliver high-quality training, and support development of digital workflows and automation skills across diverse cohorts.

Qualifications

• Experience with data analysis, AI, automation, or digital systems.
• Ability to explain technical concepts clearly to learners.
• Experience training or mentoring learners or adults.
• Familiarity with workplace digital transformation and business processes.

Responsibilities

• Deliver engaging teaching across Data, AI and Automation programmes.
• Support learners to apply data/AI/automation to workplace processes.
• Develop learners' knowledge of digital workflows and emerging AI tools.
• Help learners identify business problems and explore tech-based solutions.
• Assess, mentor and support learners throughout their apprenticeship.
• Provide meaningful feedback to support progress and achievement.
• Collaborate with employers to align learning with workplace needs.
• Maintain high standards of teaching, assessment, and compliance.
• Keep knowledge current in a rapidly developing tech area.

Skills

Data analysis

AI and automation

Digital workflows

Process improvement

Teaching experience

Education

Apprenticeship Standards knowledge (Data Technician L3; AI & Automation L4)

Job description

LXP Talent is recruiting a Programme Tutor Assessor to deliver Data Technician Level 3 and AI & Automation Level 4 Apprenticeship Standards. The role is hybrid, based around Hull/Grimsby, with flexibility in hours and a mix of teaching and assessor duties.

You will inspire learners, deliver high-quality training, and support development of digital workflows and automation skills across diverse cohorts.