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Weekday AI

Equity Research Expert - Single-Name Analyst Publications

United States
Salary
$150 - $250 per hour
Level
Senior
Work type
Remote · US only

Not stated in the posting: visa.

Open. First seen 2 October 2026.

About the role

This role is for one of our clients

Compensation: $150 - $250 per hour

We are building expert-authored forecasting and research data used to evaluate and improve AI models on real financial analysis. Each task asks a practitioner to reason from a fixed evidence cutoff — no hindsight — and document the judgment a strong analyst would have made at that moment.

This role covers single-name equity analyst publications: predicting when a named sell-side analyst will publish after a catalyst, and what that update will contain.

Requirements

What you will do

  • Forecast the timing and content of a named analyst's post-catalyst research note
  • Reason from filings, earnings, transcripts, estimates, valuation and ratings to an expected published view
  • Document the internal research workflow that determines how and when an equity research report gets produced
  • Review model-generated analyses and grade them against your own standard

Who we are looking for

  • A former lead sell-side equity analyst or highly senior research associate who personally published post-catalyst research in the exact sector
  • Deep command of filings, earnings, transcripts, estimates, valuation, ratings, and the internal workflow behind an equity research report
  • Typically 8+ years of direct experience, or unusually strong evidence of equivalent performance

Backgrounds we look at first: Institutional Investor-ranked teams and leading research franchises such as Goldman Sachs, Morgan Stanley, JPMorgan, Bank of America, Citi, UBS, Barclays, Bernstein, Jefferies and Wolfe Research. Former colleagues, direct coverage rivals, and senior buy-side consumers of a named analyst's work are especially valuable. Brand-name experience is a strong first-pass signal but is not a hard requirement — direct experience and performance on the work sample determine who qualifies.

Point-in-time discipline

Every task is graded on reasoning from the stated cutoff without hindsight, data leakage, confidential information, or material non-public information.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

The team: AI Training HIRES STEADILY

This role is one of 108 open in AI Training. 1 was posted in the last 30 days and the oldest in April: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Machine Learning (31 of 108), Python (30 of 108), LLM (18 of 108), Git (14 of 108), SQL (12 of 108), Excel (10 of 108), Generative AI (9 of 108)

OTHER ROLES ON THIS TEAM

From the team and dates on Weekday AI's own job board.

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