Posted Sep 28, 2026

PowerPoint Presentation AI Evaluator

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The work You will review and improve AI prompts and enterprise PowerPoint presentations used for business applications. Your work will help make presentations accurate, clear, well organized, consistent, and suitable for business and executive audiences. • Review prompts and presentations for accuracy, clarity, relevance, and logical organization. • Create, edit, format, and review polished enterprise slides against professional standards and brand guidelines. • Check layout, typography, colors, visual hierarchy, alignment, consistency, and overall presentation quality. • Turn complex information into clear, well-structured, visually compelling slides. • Edit and rewrite content while preserving its accuracy, consistency, and intended message. • Maintain high quality while working efficiently under tight deadlines. What it pays and takes This is a part-time contractor role with a commitment of at least 20 hours per week. The listing does not provide a pay rate. • Location: Worldwide. • Language: English. • Experience: At least three years creating and working with presentations in management consulting, corporate strategy, corporate finance, or a similar professional setting. • Strong expertise developing, editing, formatting, and reviewing PowerPoint presentations for business and executive audiences. • Excellent written communication and the ability to explain complex information clearly, concisely, and professionally. • Strong attention to visual design, structure, consistency, and accuracy. • Bachelor's degree or equivalent practical experience. • Helpful but not required: experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role. How it works Apply on OpenTrain with your resume, then complete the application on the hiring site. About AI training work AI training work uses human review to help improve how artificial intelligence understands and produces information. People with strong professional skills are needed to judge accuracy, clarity, structure, and quality in the examples used to improve AI systems.