Claim examiner Jobs in Hayward, CA

Mercor is hiring Expert Equities Research Reviewers on behalf of a team building an autonomous, AI-powered deep research system for public equities analysis. This system generates multi-source investment research reports, including financial modeling, valuation analysis, competitive positioning, price targets, and structured investment theses. In this role, you will evaluate AI-generated reports for accuracy, analytical depth, and practical investment utility — helping calibrate and improve a system designed to operate at institutional research standards. This is a high-judgment role suited for experienced investment professionals.

• Responsibilities - Review AI-generated equity research reports for factual accuracy, analytical rigor, and logical coherence - Evaluate investment theses, price targets, and buy / hold / sell recommendations, identifying unsupported assumptions or gaps in reasoning - Verify financial metrics and modelling logic across : - Revenue growth and margin structure - Rule of 40 calculations - TAM estimates - Valuation multiples and DCF assumptions - Assess whether conclusions reflect current market realities and align with publicly available information - Provide structured written feedback across key quality dimensions, including : - Source reliability - Claim confidence calibration - Internal consistency - Completeness of coverage - Flag stale data, misinterpreted metrics, flawed valuation logic, or missing contextual factors that could mislead an investment decision-maker - Evaluate multi-company comparative analyses and sector-level assessments for methodological soundness and practical relevance * * * ## Requirements - Professional experience in public equities research, portfolio management, or related buy-side / sell-side roles (hedge fund, asset management, equity research, or investment banking) - Strong command of fundamental analysis , including : - Financial statement interpretation - DCF modelling and valuation methodologies - Comparable company analysis - Earnings-driven forecasting - Ability to critically assess an investment thesis and deliver clear, specific, and actionable written feedback - Comfort reviewing structured research documents (Markdown or PDF format) - Strong written communication skills — feedback must be precise, analytical, and constructive * * * ## Nice to Have - CFA designation or active progress toward it - Experience building or evaluating quantitative research tools, screening systems, or systematic strategies - Familiarity with AI / LLM capabilities and limitations in financial research contexts - Coverage experience across multiple sectors beyond technology * * * ## Why Join - Shape the quality standard for a frontier AI system operating at institutional-grade research levels - Collaborate with engineers and AI researchers building multi-agent financial analysis systems - Directly influence how AI-generated equity research is validated, calibrated, and improved - Join a global network of senior finance professionals contributing to the next generation of AI-assisted investment research