Quantitative Analyst (Remote, Part-Time)
Listing checked October 1, 2026 · pay as published by Handshake AI
Overview
Handshake AI hires experienced quantitative analysts to improve AI models through part-time, remote project work. You draw on your background in quantitative strategies and modeling to craft expert-level problems, then judge AI-generated answers for technical accuracy and real-world viability. The fellowship runs as ongoing contract work with no set schedule, so you can pair it with a current role at a fund or research shop. Feedback you write helps models reason more like a practicing quant across alpha generation, risk modeling, or portfolio construction.
What You'll Do5
- 1Design quantitative problems and scenarios that mirror real research, model development, and strategy work.
- 2Evaluate AI-generated responses for technical accuracy, practical feasibility, and how well they match actual quant practice.
- 3Write structured feedback that points out errors, gaps, and stronger reasoning paths for model improvement.
- 4Apply your sub-domain expertise in alpha generation, trading strategy, or risk modeling to each task.
- 5Set your own hours and complete tasks without a minimum weekly commitment.
Requirements8
- 1At least 1 year of hands-on professional experience as a quant at a top company or fund.
- 2Bachelor's degree in Mathematics, Statistics, Computer Science, or another quantitative field.
- 3Deep knowledge in one area: quant research and alpha/signal generation, trading strategy design and execution, or risk modeling and portfolio construction.
- 4A track record at a recognized top-tier quant fund or trading firm (preferred).
- 5Residence in the United States.
- 6Clear written communication and close attention to detail.
- 7Ability to explain complex quantitative ideas to a non-specialist reader.
- 8Comfort working on your own in a remote, asynchronous setting.
Who Should Apply
An ideal candidate has spent at least a year as a hands-on quant at a top fund or company and holds a degree in math, statistics, computer science, or a similar field. You need depth in one sub-domain, whether that is alpha research, trading strategy, or risk and portfolio work, and you should enjoy writing clear explanations of complex models. The role suits someone who already has a full-time position and wants flexible, project-based side work. Candidates without professional quant experience, or those who cannot show sub-domain depth, often score low on fit. Weak written feedback or a US location that does not meet the eligibility rule can also lead to rejection.
Salary Insight
The listed rate is $150.00 per hour. For part-time, project-based AI training work, that figure sits at the high end and matches the senior quant expertise the fellowship requires, so expect the application screen to test sub-domain depth and written reasoning.
Pay and demand for Data Science & Analytics roles
AggregatedTypical pay
$68/hour
This role
$150/hr
Most Data Science & Analytics roles pay $45–$85 per hour. This role's pay sits above that range.
Based on 102 similar roles that publish pay · 18 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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Compensation
$150/hr
Required Skills
Application Tip
Name the exact sub-domain you work in (alpha generation, trading strategy, or risk modeling) and pair it with one concrete project: asset class, model type, and a measurable result. The screen weighs written clarity, so keep that example tight and specific.
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2Screened before the employer sees it
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3Outcome by email
We notify you at the address on your resume once the screening is reviewed.
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