Role Title: Investor Relations Consultant (Large Asset Manager)
Role Type: Contractor
Location: Remote, US-based
micro1 is engaging Investor Relations Consultants (Large Asset Manager) to support a customer project focused on enhancing the quality, clarity, and compliance of IR deliverables. 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.
Scope of Work
Design project tasks that authentically reflect key IR workflows, including quarterly reporting cycles, LP updates, capital raising communications, and roadshow presentations.
Craft gold-standard response materials for IR outputs such as LP letters, fund updates, quarterly reports, and investor decks, mirroring the polish and precision of a senior IR expert.
Assess and annotate model-generated content for numerical accuracy, compliance alignment, consistent narrative, and appropriateness of tone across reporting cycles.
Author detailed rubrics that distinguish between IR-grade, LP-ready materials and preliminary drafts, ensuring fidelity to industry standards.
Identify and flag communication failure modes, such as tonal inconsistencies, compliance risks, and narrative drift across reporting periods.
Collaborate asynchronously to offer constructive feedback and continuous improvement to AI model outputs in the investor relations domain.
Preferred Qualifications
Minimum 4 years’ experience in investor relations with a large asset manager (e.g., traditional, private equity, hedge fund, or comparable environment).
Demonstrated end-to-end responsibility for IR content such as LP letters, fund updates, quarterly reports, or roadshow materials.
In-depth understanding of compliance, regulated-communication requirements, and stakeholder communications within asset management.
Exceptional written English skills with mastery of the investor relations register and tone.
Proven ability to interpret and communicate complex financial data with precision and clarity.
Advanced degree preferred, with MBA, MSc Finance, or similar credentials especially valued.
Strong attention to detail, organizational skills, and ability to deliver polished work autonomously in a remote, asynchronous setting.
