Scope of Work Evaluate and annotate complex financial materials, transaction documents, and case studies to enrich AI learning datasets. Draft, review, and edit project deliverables including pitchbooks, valuation models, and market analysis summaries for accuracy and clarity. Simulate and document real-world investment scenarios to improve model understanding of industry practices and deal processes. Provide detailed, written feedback on AI-generated financial content with a focus on precision, relevance, and professionalism. Curate and synthesize financial data to support scenario creation and decision-making exercises within the project scope. Identify and communicate nuanced industry concepts and terminology essential to authentic investment banking operations. Collaborate virtually with project coordinators to ensure deliverables align with project guidelines and client expectations. Preferred Qualifications Current or recent experience as an Investment Banking Associate (any level) or Analyst (2nd year+), or equivalent role within Sales & Trading. Demonstrated expertise in financial modeling, valuation, and deal execution processes. Excellent written and verbal communication skills with an emphasis on clarity and detail. Proven ability to interpret and analyze financial statements, transaction documents, and market data. Strong attention to detail and ability to provide constructive, actionable feedback on complex materials. Ability to work independently and manage multiple deliverables within defined project milestones. Familiarity with industry-standard documentation, regulatory considerations, and deal structuring nuances.

About micro1

micro1 is engaging Software Engineer — Open Source Contributions experts to participate in an impactful customer project focused on high-quality, open source software development. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.