At a Glance
- Tasks: Assess learner assignments and provide constructive feedback in a remote setting.
- Company: Join peopleworth, a forward-thinking employer focused on thriving performance.
- Benefits: Enjoy flexible remote work and opportunities for growth in a collaborative culture.
- Other info: Be part of a dynamic team that values emotional intelligence and feedback.
- Why this job: Make a real impact on learners' progress while engaging with AI and leadership topics.
- Qualifications: Postgraduate marking experience and strong understanding of AI-related subjects required.
The predicted salary is between 30000 - 40000 £ per year.
At peopleworth, we support work where people and performance thrive. As part of our Employer Group, we work with a variety of forward‑thinking partners and are excited to share this opportunity that sits within our growing group.
Role Overview
The AI Leadership Programme Marker supports the delivery of a postgraduate-level professional learning programme by assessing learner assignments and providing high-quality, developmental feedback. Working remotely during defined marking periods, this role plays a critical part in ensuring consistent academic standards, timely assessment, and positive learner progression across the programme lifecycle.
Key Responsibilities
- Assess learner project submissions against defined criteria and marking rubrics
- Provide clear, constructive, and developmental written feedback on all assigned assessments
- Apply consistent grading standards aligned with programme calibration and moderation guidelines
- Collaborate with tutors and delivery team members to support marking consistency across cohorts
- Participate in calibration and moderation activities as required during each marking period
- Manage allocated marking workloads to meet agreed turnaround times and deadlines
- Work collaboratively with learner support teams to ensure feedback enables learner progression
- Maintain accurate records of assessment outcomes in relevant learning systems
- Providing further async-specific feedback to learners when requested, post mark & feedback
Requirements
- Demonstrated experience marking assessments at postgraduate level
- Strong understanding of leadership, strategy, or technology‑related subject matter, with relevance to AI‑enabled contexts
- Doctoral level qualification completed or currently in progress
- Ability to apply assessment rubrics objectively and consistently
- Excellent written communication skills with the ability to explain complex concepts clearly
- High levels of emotional intelligence and openness to feedback
- Confidence using online learning platforms and digital assessment tools
- Demonstrated interest in the future of artificial intelligence and leadership development
Benefits
- Collaborative, people‑centred performance culture
- Opportunities to grow in a fast‑paced environment
- Flexible, remote‑based working during defined marking periods
AI Leadership Programme Assessor & Feedback Specialist in Leeds employer: peopleworth
At peopleworth, we pride ourselves on fostering a collaborative and people-centred performance culture that empowers our employees to thrive. As an AI Leadership Programme Assessor & Feedback Specialist, you will enjoy the flexibility of remote work during marking periods while contributing to meaningful learner progression in a fast-paced environment. With opportunities for professional growth and a commitment to high-quality feedback, we are dedicated to supporting your development in the exciting field of AI and leadership.
StudySmarter Expert Advice🤫
We think this is how you could land AI Leadership Programme Assessor & Feedback Specialist in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to AI and leadership. Join relevant online forums or LinkedIn groups where you can engage with others and showcase your expertise.
✨Tip Number 2
Prepare for interviews by practising common questions related to assessment and feedback. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your experience effectively.
✨Tip Number 3
Showcase your passion for AI and leadership development during conversations. Share insights or recent trends you've noticed in the industry to demonstrate your knowledge and enthusiasm for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace AI Leadership Programme Assessor & Feedback Specialist in Leeds
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your experience with marking assessments, especially at the postgraduate level. We want to see how your background aligns with the role, so don’t hold back on sharing relevant examples!
Be Clear and Constructive:When writing your application, focus on clarity and constructiveness. Just like the feedback we expect you to provide, your application should communicate your thoughts clearly and effectively.
Tailor Your Application:Take a moment to tailor your application to the specific role. Mention your understanding of leadership and AI-related subjects, as this will show us that you’re genuinely interested in the position and its requirements.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at peopleworth
✨Know Your Stuff
Make sure you brush up on your knowledge of leadership, strategy, and AI-related topics. Familiarise yourself with the specific assessment criteria and rubrics used in postgraduate marking. This will not only help you answer questions confidently but also show that you're genuinely interested in the role.
✨Showcase Your Feedback Skills
Prepare examples of how you've provided constructive feedback in the past. Think about times when your feedback helped someone improve or understand a complex concept better. This is crucial for the role, so be ready to discuss your approach to giving developmental feedback.
✨Demonstrate Collaboration
Since the role involves working with tutors and learner support teams, think of instances where you've successfully collaborated with others. Highlight your ability to maintain consistency and support your colleagues, as this will resonate well with the interviewers.
✨Be Open to Feedback
During the interview, show that you're receptive to feedback and willing to learn. Share experiences where you've adapted based on feedback received. This aligns perfectly with the emotional intelligence aspect of the role and will demonstrate your growth mindset.
