Data Science Presentation Review Specialist

The work

You will review, reconstruct, and improve business presentations and analytics reports. The work combines Microsoft PowerPoint design, data visualization, statistical reasoning, written editing, and careful review of complex findings.

Your goal is to turn datasets and analysis into clear visual stories and useful business conclusions. You will also improve drafts through feedback cycles and follow project-specific requirements.

• Reconstruct, redesign, and enhance data-driven presentations in Microsoft PowerPoint.
• Create visualizations that make complex datasets easier to understand.
• Edit slides and reports for accuracy, flow, clarity, and narrative impact.
• Apply data analysis and statistical reasoning to develop actionable conclusions.
• Write analytics reports covering findings, trends, and recommendations.
• Review presentations against data visualization and presentation design best practices.
• Incorporate feedback through iterative improvement cycles.

What it pays and takes

This is an entry-level, part-time contractor opportunity for candidates who can combine strong presentation design with data and editorial judgment.

• $150 to $350 per hour.
• Remote work open to candidates in the United States, United Kingdom, and Canada.
• Strong written English for presentations, reports, and stakeholder communication.
• Expert proficiency in Microsoft PowerPoint, including slide reconstruction and advanced presentation design.
• A strong portfolio or relevant work samples.
• A background in data science, analytics, statistics, or a related field.
• Experience turning complex datasets into accessible, business-focused insights.
• Experience with content editing, data storytelling, and analytics reporting for varied stakeholders.
• Strong written communication, critical thinking, quantitative judgment, and attention to detail.
• Prior consulting experience and experience presenting analysis to non-technical business audiences are helpful.
• Comfort with remote collaboration, iterative feedback, and changing project requirements.

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, writing, analysis, and labeling to help improve artificial intelligence systems. People with strong data, statistical, writing, or presentation skills are needed to judge quality and prepare useful examples for these systems.