Data Science Specialist, Executive Presentation Review [Remote]

Role Overview

Apply data science, analytical reporting, and executive presentation expertise to help train next-generation AI systems. You will improve the clarity, accuracy, and visual impact of business presentations and reporting materials using high-quality, real-world input. No prior AI experience is required.

Key Responsibilities

• Reconstruct, redesign, and enhance data-driven Microsoft PowerPoint presentations for clarity and visual consistency.
• Create visualizations that turn complex data into accessible insights for varied audiences.
• Edit presentation content for accuracy, flow, and narrative impact.
• Use data analysis and statistical reasoning to interpret datasets and develop actionable conclusions for presentation materials.
• Produce analytics reports summarizing findings, trends, and recommendations with precision and attention to detail.
• Review and refine slides and reports against data visualization and presentation-design best practices.
• Participate in feedback cycles to improve deliverables based on project requirements.

Qualifications

• Expert-level Microsoft PowerPoint skills, supported by a portfolio demonstrating slide reconstruction and advanced presentation design.
• Ability to distill complex datasets into clear, business-oriented visual insights.
• Experience with content editing, data storytelling, and analytics reporting for diverse stakeholders.
• Strong critical thinking, written communication, and attention to detail across quantitative and qualitative work.
• Background in data science, analytics, statistics, or a related field. Consulting experience is a plus.
• Comfort working remotely in a collaborative environment with evolving requirements and iterative feedback.

Work Terms

• Independent contractor engagement.
• Remote, available to candidates located in the United States, United Kingdom, or Canada.

Compensation

$150 to $350 per hour.

Application Process

Submit an application using email, Google, or LinkedIn, and acknowledge the candidate terms and privacy policy during the application process.