Job Description

Role Title: HR, Learning & Development Expert — PowerPoint Review & Reconstruction

Role Type: Contract

Location: Remote

Required Skills:

• Microsoft PowerPoint
• Slide Reconstruction
• Presentation Design
• Data Visualization
• Visual Storytelling
• Content Editing
• Critical Thinking
• Attention to Detail
• Written Communication
• Human Resources
• Learning & Development

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work:

• Rebuild business slides from images using Microsoft PowerPoint, emphasizing clarity and professional design.
• Enhance content structure, data visualization, visual storytelling, and slide layout for senior or client audiences.
• Edit and refine slide content while preserving critical HR and L&D definitions, caveats, and data accuracy.
• Document, in detail, the rationale for both improvements implemented and original elements deliberately retained.
• Analyze and strengthen message hierarchy, supporting evidence, and exhibit selection for each slide.
• Handle diverse materials such as organization design decks, training modules, and compensation reviews.
• Deliver each assignment within an anticipated 1–2 hours, with volume varying by project sprint.

Preferred Qualifications:

• 3+ years of proven expertise in HR, learning & development, organizational development, or workforce strategy.
• Demonstrated experience crafting executive-ready PowerPoint presentations for senior stakeholders or clients.
• Strong skills in slide reconstruction, data visualization, visual storytelling, and business communication.
• Exceptional attention to detail, critical thinking, and content editing within HR and L&D subject matter.
• Ability to clearly explain message hierarchy, evidence-supported titles, and design choices.
• Comfort working independently in a project-based, sprint-driven context with variable volume.
• Prior experience with AI data training, evaluation, or rubric writing is a plus, but not required.