$70–110/hr
The role in one line
You evaluate AI-generated securities and commodities trading advice, assessing financial logic, regulatory compliance, and client suitability.
Written by Training Turk from the public listing; it may be incomplete or out of date. Read the full posting on Mercor.
What you would do
- Review AI trade recommendations and investment proposals for analytical rigor
- Evaluate whether recommendations comply with suitability and disclosure rules
- Compare AI responses against real trading and advisory workflows you've performed
- Assess market analysis quality and whether AI assumptions match current conditions
- Identify gaps between AI logic and how you would actually advise clients
Who they are looking for
- 4+ years of professional experience in securities, commodities, or financial services sales roles
- Direct experience buying and selling securities or commodities
- Ability to commit 20+ hours per week
- Strong written English communication skills
What the interview is likely to probe
1.Suitability and client matching
Investment advice quality depends on matching recommendations to individual client profiles; this tests whether you spot when AI oversimplifies or ignores client constraints.
Expect something like: “An AI recommends a 100% equities portfolio to a 68-year-old investor with $500K savings and a 5-year spending horizon. What aspects of suitability should an advisor challenge?”
2.Regulatory compliance in advice
Financial advisors operate within specific compliance frameworks; this evaluates whether you recognize when AI skips required disclosures or violates standards.
Expect something like: “An AI generates a commodities trading recommendation without discussing margin requirements, daily settlement, or volatility compared to stocks. What regulatory or risk-disclosure gaps exist?”
3.Market analysis and macro judgment
Trading advice depends on sound market outlook; this probes whether you can identify when AI anchors on stale data or makes internally inconsistent market assumptions.
Expect something like: “An AI recommends buying long-dated Treasury bonds, claiming yields are attractive relative to historical averages, but recommends selling stocks due to recession risk. How would you reconcile those positions?”
4.Portfolio construction and diversification
Advisors build portfolios by managing correlation, liquidity, and rebalancing; this tests whether you spot when AI creates portfolios that look good on paper but fail in practice.
Expect something like: “An AI portfolio includes 40% in emerging-market bonds, 35% in small-cap stocks, and 25% in commodities, claiming diversification. What liquidity or correlation concerns would you raise?”
5.Recommendation rationale and transparency
Clients and compliance teams need to understand why a recommendation was made; this evaluates whether AI provides reasoning that clients could actually act on.
Expect something like: “An AI recommends buying Commodity X, citing supply-demand imbalance. You know Commodity X, but the explanation doesn't match how price typically moves. What follow-up questions would you ask?”
Exercise you may get
Review a 2-3 page AI-generated investment recommendation for a specific client profile, identify 4-5 compliance, suitability, or analytical gaps, and draft a corrected recommendation.
How to prepare
- Review recent regulatory guidance in your specialization to understand what compliance AI advice requires
- Document 2-3 specific client profiles and recommendations you've made in the past, noting how you tailored advice to their situation
- Collect 3-4 recent market scenarios and note how your own recommendations adapted
Facts
- Pay
- $70–110/hr
- Commitment
- hourly
- Work arrangement
- remote · Remote
- Eligible locations
- USA
- Domain
- Finance
- Posted
- 9/24/2026
- Open slots
- 50