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Sell-Side Equity Analyst Expert

Ethos β€’ Remote β€’ Posted 36 days ago

Education

Any

Type

Pay Rate

$150/task

Posted

36d ago

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About this Role

About the job

We're working with a leading foundational AI lab to find experienced sell-side analysts who can help train their latest language model on equity research and financial analysis tasks.

We're looking for sell-side analysts with significant experience at investment banks who know how to produce rigorous, publication-quality equity research. You understand how to read a 10-K and extract what actually matters, how to build an earnings model that holds up to scrutiny, and how to communicate a nuanced investment thesis clearly and concisely. That combination of financial rigour and structured communication is exactly what this work requires.

You'll create, evaluate, and refine AI-generated work across core equity research workflows: earnings analysis and 10-K teardowns, financial modelling and valuation, sector and competitive analysis, investment thesis writing, and research report production.

Compensation: $150/hour

Commitment: Flexible, 5 to 20 hours per week (up to $3k/week)

Location: Fully remote, work on your own schedule

Start date: March

Qualifications:

Sell-side equity analyst at a top investment bank or research boutique
Significant experience producing earnings analysis, financial models, and published equity research
Strong written communication and ability to evaluate financial analysis for accuracy and depth

About Ethos

Ethos is a new expert network built by a McKinsey/SoftBank/DeepMind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.

Requirements

  • Must be eligible to work in Remote
  • Fluent proficiency in English (Written & Verbal)
  • Reliable high-speed internet connection
  • Bachelor's degree or equivalent professional experience
  • Demonstrated expertise in Business

Compensation Analysis

Monetize your niche expertise without the billable hours. At $150/hr, this role offers elite compensation for pure intellectual workβ€”no client management or administrative bloat.

Skills & Categories

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Frequently Asked Questions

Is this normal AI training work?

No. Ethos is an expert network β€” not a task queue. You won't be rating chatbot responses. AI labs, investment funds, and Fortune 500s pay to access your specific domain knowledge: deal analysis, clinical reasoning, legal logic, financial modeling. Work takes three forms: paid consulting engagements (multi-week), 30–60 minute advisory calls, and targeted research surveys.

Do I need to constantly apply for projects?

No. Once your profile is live, Ethos's AI automatically matches you to inbound opportunities based on your career history. Companies find you β€” you don't hunt for listings. Your Expert Score rises with each completed engagement, which unlocks higher-value inbound over time. Ethos already works with 25+ private equity firms, hedge funds, and consultancies, so deal flow is real.

When and how do I get paid?

Payment is processed within 30 days of submitting your invoice after a project closes. This net-30 schedule is standard for enterprise expert networks but slower than weekly-paying AI platforms. Plan your cash flow accordingly β€” this is not a 'get paid Friday' setup.

Is this traditional consulting?

Not exactly. You act as a "Teacher" for advanced AI. Instead of client deliverables, you are given complex scenarios to evaluate. You grade the AI's logic, correct its hallucinations, and provide expert-level reasoning. Your job is to train the model to think like you do.

Why is the pay so high?

This role requires deep, verified expertise. General knowledge isn't enough; the model is specifically being trained on "edge cases"β€”the rare, difficult, or highly technical nuances that only a senior professional would know.

What is the workload like?

This is cognitive, deep work. Unlike simple data labeling, you might spend 45-60 minutes on a single task, researching citations or verifying complex calculations. Quality is prioritized over speed.

Who built Ethos and is it legitimate?

Ethos raised $3.5M from General Catalyst and was co-founded by Daniel Mankowitz (Google DeepMind research scientist and lead author of AlphaDev) and James Lo (McKinsey, SoftBank Vision Fund). Over 17,000 experts have signed up and it is actively working with 25+ PE firms, hedge funds, and consultancies. It is legitimate and well-funded. The referral link on this page is an affiliate link β€” this does not affect your pay or opportunities.