We're hiring equity research professionals to evaluate initiation of coverage draft notes for a paid study. The goal of this research is to ensure financial forecasts, valuation methodologies, and accounting practices meet high analytical standards. Your insights will help us refine our financial modeling evaluation processes and identify common accounting inconsistencies in early-stage coverage reports.
During this remote session, you will be presented with an initiation of coverage draft note for a specific asset or company. You will walk us through your process for reviewing the attached valuation methodologies and financial forecasts. We will ask you to actively identify any analytical errors, accounting inconsistencies, or gaps in the provided financial models. Finally, you will provide structural feedback on how the draft note compares to standard institutional research reports.
We are looking for seasoned equity research analysts, investment analysts, and financial modeling experts who regularly produce or review coverage notes. You should have strong practical experience with valuation methodologies and deep knowledge of accounting principles. We welcome sell-side equity analysts, buy-side investment analysts, and portfolio managers who are comfortable tearing down complex financial forecasts.
Review an initiation of coverage draft note and its accompanying financial models.
Evaluate the accuracy and logic of the proposed valuation methodologies.
Identify analytical gaps, accounting inconsistencies, or aggressive forecasting assumptions.
Walk us through your thought process for validating institutional financial research.
Professional experience as an equity research analyst, investment analyst, or similar financial role.
Strong background in reviewing or authoring initiation of coverage notes.
Deep understanding of valuation methodologies and financial forecasting.
Comfortable identifying and explaining accounting inconsistencies in complex models.
$100 one-time
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at terac.com or on YouTube at @jointerac
Terac is building the infrastructure layer that connects AI systems with on-demand human expertise.
We believe the future of work is shifting: instead of humans using AI to do most tasks, AI will increasingly do most work with the help of humans. In that world, companies won’t need traditional employees - but they will still need people. Terac powers that future by making high-quality human labor accessible through a single API.
Today, Terac operates as an expert network for frontier research. We handle sourcing, verification, screening, and payouts so partners can instantly access specialized talent for research, evaluation, and data generation. Our platform enables companies to tap into niche expertise on demand while focusing on building their core products.
Backed by $9M from Emergence, SignalFire, Audacious, and Z Fellows, we’re scaling from research tooling into a broader marketplace for the human data economy - building systems for expert matching, pricing, routing, and trust that will define how AI and humans collaborate at scale.
