AI & DATA - Programme Tutor Assessor

Reed; Greater Lincolnshire; Hybrid; GBP 34,000 - 37,000; Full time

Job summary

Reed is hiring a Programme Tutor Assessor (AI & Data) to deliver and assess learners on the Data Technician and AI & Automation Practitioner Apprenticeship Standards.

The role supports hybrid delivery in Hull/Grimsby and online, requiring experience in Data or AI & Automation. You will teach face-to-face and online, conduct learner reviews, and ensure progress tracking and compliance with funding requirements.

Qualifications

• Candidates with practical knowledge and industry experience in either Data or AI & Automation.
• Teaching qualifications or willingness to attain one are required.
• Assessor qualification (A1/D32/33 or CAVA) is advantageous.

Responsibilities

• Deliver high-quality teaching, learning and assessment face-to-face and online.
• 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 learner records and produce reports as required.
• Contribute to quality assurance and continuous improvement.
• Support learner recruitment and programme development.

Skills

Data analysis

Data visualisation

Data quality

Data governance

AI & Automation

Automation tools

Prompt engineering

Process improvement

Ethical data use

Education

Teaching qualification or willingness to work towards one

Assessor qualification (A1, D32/33 or CAVA) advantageous

Tools

Power Automate

Zapier

Make

Job description

I am currently recruiting for a Programme Tutor Assessor (AI & Data) on behalf of a leading training provider. This is an excellent opportunity for an experienced professional with a background in Data, Artificial Intelligence & Automation, or Apprenticeship delivery to join a growing and innovative team.

Location: Hull / Grimsby / Hybrid / Online

Salary: £33,945 - £37,336 per annum (dependent on qualifications and experience)

Hours: Full Time (part-time hours may be considered for the right candidate)

Closing Date: Sunday 6th September

About the Role

The successful candidate will deliver and assess learners on the:

• Data Technician Apprenticeship Standard
• Artificial Intelligence (AI) & Automation Practitioner Apprenticeship Standard

Candidates do not need experience in both Data and AI. Applications are welcomed from individuals with expertise in either area, although experience across both disciplines would be highly desirable.

The role is advertised as hybrid, with the balance between centre-based and remote delivery determined by employer and apprentice requirements. Flexibility is therefore essential.

Key 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.

Ideal Candidate

We are interested in speaking with candidates who have practical knowledge and industry experience within either Data or AI & Automation.

Data knowledge may include:

• Data analysis and visualisation
• Data quality and cleansing
• Data management and reporting
• Statistical methods and data interpretation
• Data governance, compliance and ethical use of data

AI & Automation knowledge may include:

• Artificial Intelligence and Generative AI
• Automation tools such as Power Automate, Zapier or Make
• Prompt engineering
• Process improvement and workflow automation
• Ethical and responsible
• AI implementation AI solution design, testing and evaluation

Qualifications

Applicants should hold relevant occupational qualifications within their specialism and either:

• Hold a teaching qualification such as DTLLS, Cert Ed or Level 5 Diploma in Education; or
• Be willing to work towards one.

An assessor qualification (A1, D32/33 or CAVA) would be advantageous, although support may be available for the right candidate.

Why Apply?

• Competitive salary package with a recently increased salary range.
• Hybrid and flexible delivery model.
• Opportunity to work within rapidly growing AI and Data apprenticeship programmes.
• Ongoing professional development and training opportunities.
• Opportunity to make a significant impact on apprentice development and progression.