The work
You will support AI training work focused on business presentations and prompt review. The work uses enterprise PowerPoint presentations, business prompts, source materials, and model outputs to help improve how AI handles business content.
The role uses the Business Management Consultant title, while the work centers on presentation and prompt review. Review the duties and qualifications before applying.
- Write or improve expert responses and explain your reasoning clearly.
- Review source materials and model outputs against project guidelines.
- Explain your judgments so feedback can improve model behavior.
- Review, edit, rewrite, and refine slide content while preserving accuracy, consistency, and the intended message.
- Maintain consistent quality across repeated review tasks.
What it pays and takes
The supplied role information does not include a pay rate. The work is structured as part-time contractor work.
- Time requirement: 20+ hours per week.
- Schedule: at least 8 hours per day and up to 40 hours per week, with 4 hours of overlap with Pacific Standard Time.
- Location: open worldwide.
- Language: professional fluency in English.
- Experience: at least 3 years creating and working with presentations in management consulting, corporate strategy, corporate finance, or a similar professional setting.
- Strong ability to understand business data and prompts and create, edit, and review polished PowerPoint presentations for business and executive audiences.
- Relevant backgrounds may include investor relations, equity research, financial research, internal audit, compliance, quality assurance, business analysis, or strategy analysis.
- Exceptional written communication and the ability to explain complex information clearly, concisely, and professionally.
- Bachelor's degree or equivalent practical experience in any field.
- Prior AI training experience is not required.
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 systems that generate and understand text, images, and other content. Contributors review examples, write responses, and rate model output so AI systems can improve, while people with strong business expertise provide the careful judgment these projects need.