Executive Presentation Review Specialist

The work

You will review and improve executive presentations used in an AI training and evaluation project. The work combines slide reconstruction, content editing, visual storytelling, data visualization, and practical feedback.

You will turn complex business information into clear, concise, and visually engaging presentation materials. You will also contribute professional examples and judgment that help AI systems learn from high-quality presentation work.

• Reconstruct and enhance Microsoft PowerPoint slides.
• Improve slide clarity, visual appeal, structure, flow, and impact.
• Design presentations that explain complex ideas through visual storytelling and data visualization.
• Edit content for precision, consistency, accessibility, and audience engagement.
• Review narrative flow and design choices, then suggest practical improvements.
• Provide prompt feedback and polished presentation assets while working virtually.

What it pays and takes

This is a remote contractor role for an individual contributor with expertise in executive communications and presentation development. Previous AI training experience is not required.

• Pay: $150 to $350 per hour.
• Work type: Part-time contract work.
• Location: Open to candidates in the United States, United Kingdom, and Canada.
• Language: Professional fluency in English.
• Experience: At least two years of client-facing management consulting experience at a consulting firm.
• Skills: Advanced Microsoft PowerPoint and presentation design ability.
• Portfolio: Examples of data visualization and visual storytelling.
• Required strengths: Written communication, content editing, attention to detail, critical thinking, and sound judgment.
• Helpful background: Business presentation enhancement, storylining, client readouts, or consulting work.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind artificial intelligence. People prepare, write, review, and rate examples so AI systems can produce better results, and experienced specialists are valued for the professional judgment they bring to that work.