Quantitative Finance Researcher
Listing checked October 23, 2026 · pay as published by Handshake AI
Key details
- Pay
- $75–150/hr
- Location
- RemoteUnited States
- Job type
- Part-Time
- Posted
- May 7, 2026
Overview
Handshake AI seeks quantitative finance researchers and academics for a part-time, per-hour contract that supports AI research. You apply deep knowledge in mathematical finance, risk modeling, and quantitative methods to judge AI-generated content and write feedback that helps models handle quantitative finance research and methodology. The work is project-based and runs alongside your other commitments, with no prior AI experience required. Most contributors take on around 5 to 20 hours per week when an active project is available, and placement depends on current needs. The role is remote and self-scheduled.
What You'll Do7
- Evaluate AI-generated answers in quantitative finance for accuracy, relevance, and academic soundness.
- Create expert-level training examples that show correct reasoning in mathematical finance, risk modeling, or portfolio management.
- Review model outputs for errors in derivations, assumptions, and financial interpretation, then explain each correction in writing.
- Use your research background to assess content tied to computational finance, statistical finance, or market microstructure.
- Work with AI research teams through asynchronous project tools and meet agreed project milestones.
- Keep project work aligned with Handshake AI guidelines for quality and relevance.
- Contribute around 5 to 20 hours per week during active projects.
Requirements6
- PhD or Master in Quantitative Finance, Mathematical Finance, or Financial Engineering.
- Familiarity with arxiv.org and its Quantitative Finance repository, q-fin.
- Research background or coursework in computational finance, mathematical finance, portfolio management, risk management, statistical finance, or trading and market microstructure.
- Strong written communication skills and close attention to detail.
- Ability to work on your own schedule with AI research teams.
- No prior AI experience needed.
Who Should Apply
The ideal candidate holds a PhD or Master in quantitative finance, mathematical finance, or financial engineering and reads q-fin papers on arxiv.org with ease. Researchers and academics who can write precise feedback on risk management, portfolio management, or market microstructure will fit this project. The role suits someone who wants flexible, per-hour contract work next to a current academic or industry position. People seeking a permanent full-time job, a fixed schedule, or AI engineering responsibilities should look elsewhere. Applications often score low when the candidate lacks a graduate degree in a relevant field or submits vague feedback samples without clear financial reasoning.
Salary Insight
Handshake AI lists $75 to $150 per hour for this part-time contract. That range sits at the expert end for project-based AI training work, and your placement may depend on degree level, research depth, and the q-fin subfield you know best. The source does not mention benefits, minimum hours, or a fixed project length.
Pay and demand for AI Training roles
Market estimates from live NearSkill listings — separate from this job's published terms.
This role · as published
$75–150/hr
Taken from the listing itself.
Typical pay · estimated
$70/hour
Median of 1,264 similar roles that publish pay · 301 publish only a top rate; those count at the rate they gave
Most AI Training roles pay $40–$95 per hour. This role's pay sits above that range.
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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- Listed in last 30 days
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Most requested skills · share of roles
- ai evaluation14%
- llm evaluation12%
- data annotation12%
- ai training12%
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