Equity/Investment Research Analyst

$175–300/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: Location not stated
Field: Finance

Review equity research datasets, company models, earnings analyses, peer benchmarks, and investment theses used to train AI systems. This remote contractor role favors experienced sell-side researchers or publishing analysts with direct model ownership and deep sector knowledge.

The work

You would review and contribute to datasets that represent real-world equity research. Day-to-day tasks may include analyzing earnings reports, revising estimates, assessing company models, benchmarking peers, and writing concise research summaries or event-driven updates. Evaluations should address revenue, margins, cash flow, valuation drivers, industry metrics, and company-specific catalysts.

Research judgment

The work requires connecting qualitative business developments to financial outcomes and valuation. You may be asked to develop or critique an investment thesis, identify errors or weak assumptions in research content, and explain how sector-specific factors should affect forecasts. Feedback to project stakeholders also helps improve data quality and the relevance of research material used for AI training.

Screening focus

The platform is likely to verify direct ownership of company models and written research, independent coverage of multiple companies across several earnings cycles, and specialist knowledge in at least one sector. Expect follow-up questions about estimate revisions, peer selection, valuation methods, model mechanics, and times when new evidence changed your research view. No prior AI experience is required.

Logistics

This is a remote contractor engagement. The listing does not specify typical weekly hours or whether all work is asynchronous, so candidates should be ready to state their actual availability and clarify scheduling expectations before accepting work.

Pay band: $175–300/hr

What they look for

equity research
financial modeling
earnings analysis
peer benchmarking
sector expertise
investment thesis development
written communication
verbal communication
data analysis
valuation analysis

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This verifies whether you personally owned analytical outputs or mainly supported another analyst's models and publications.
A strong answer: Give role titles, sectors, approximate breadth of company coverage, and specific ownership of models, earnings notes, initiations, or other published work. Clearly distinguish independent responsibility from team support.
Where people lose it: Candidates lose points by describing a research team collectively without identifying which models, forecasts, or written conclusions they personally owned.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.

FINANCE on Sidequest

What finance AI work pays

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