Financial Presentation Specialist

You will improve AI systems by working with financial presentations and investor materials. The work combines financial judgment, visual communication, editing, and careful quality review.

You will work independently and asynchronously, refining slides so complex financial information is clear and useful to financial audiences.

• Reconstruct and refine Microsoft PowerPoint slides.
• Turn financial analysis, modeling, and valuation results into polished investor materials.
• Use data visualization and visual storytelling to explain financial information.
• Review drafts for accuracy, readability, data integrity, and persuasive messaging.
• Give detailed feedback that improves presentation quality and supports project milestones.

What It Pays And Takes

This is a part-time contractor role with flexible scheduling. The role is listed at entry level, while the work requires strong financial and presentation skills.

• Pay: $150 to $350 per hour.
• Location: Open to candidates in Canada, the United Kingdom, and the United States.
• Schedule: Remote, independent, asynchronous, and flexible.
• Language: Fluent English.
• Experience level: Entry level.
• Advanced knowledge of financial analysis, financial modeling, and valuation methods.
• Strong Microsoft PowerPoint skills and experience creating or reconstructing presentation decks.
• Ability to visualize financial information and communicate clearly to investor audiences.
• Excellent written communication, editing, critical thinking, and attention to detail.
• Experience with investor materials, pitch decks, or board-level financial reports is preferred.
• A background in finance, investment banking, consulting, or a related professional field is valuable.
• A portfolio of reconstructed or custom-designed financial presentations can demonstrate visual judgment and execution.

How It Works

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

About AI Training Work

OpenTrain is a platform where people find AI training and data-labeling work, build a profile, and apply to projects. AI training uses human review and expertise to improve how AI systems understand and produce information, so people with strong financial knowledge are paid to assess accuracy, clarity, and quality.