Quantitative Finance Researchers
Handshake • Remote • Posted 0 days ago
Education
Any
Type
Pay Rate
$150/task
Posted
0d ago
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About this Role
Overview
Handshake is looking for quantitative finance researchers and academics to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your deep expertise in mathematical finance, risk modeling, and quantitative methods to evaluate AI-generated content and provide feedback that helps AI better understand quantitative finance research and methodology.
This is an ongoing, project-based opportunity you can take on alongside anything else you have going on.
About
Handshake AI
Details
This project involves using your research expertise and academic knowledge to create expert-level training data and evaluate AI-generated responses for accuracy and relevance. No prior AI experience required.
Fully remote with a flexible, asynchronous schedule and no minimum hour requirement; most contributors work approximately 5–20 hours per week when participating in an active project.
Placement depends on current project needs, with opportunities to be considered for future projects as they become available.
Qualifications
Familiarity with arxiv.org, particularly the Quantitative Finance repository (q-fin)
PhD or Master in Quantitative Finance, Mathematical Finance, Financial Engineering
Research background or coursework in areas such as:
Computational Finance or Mathematical Finance
Portfolio Management or Risk Management
Statistical Finance or Trading and Market Microstructure
Strong written communication skills, attention to detail, and the ability to work independently and asynchronously with AI research teams.
Work authorization information
F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.
The application process
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Requirements
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Finance
- Current university student or recent graduate with .edu email
Compensation Analysis
Shape the "brain" of future AI. By working as a Quantitative Finance Researchers, you ensure that future models understand the nuance of your field. At $150/hr, it's a lucrative way to preserve the integrity of your profession in the digital age.
Skills & Categories
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Frequently Asked Questions
I graduated 5 years ago. Should I use this?
Probably not. Handshake is designed for university students and 'early talent' (people within ~1-2 years of graduation). You will likely find better rates and faster approval on Outlier or Mercor if you are an experienced professional.
Is 'Handshake' the employer?
Technically, yes. For the specific 'AI Fellowship' roles, Handshake acts as the employer of record. This is different from the rest of the website, which is just a job board listing jobs for other companies.
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"—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.
Is this an internship?
It depends. Handshake lists both standard internships and specific "AI Trainer" fellowships. Check the job description closely—if it mentions "1099" or "Contract," it is a freelance role, not a W-2 employment offer.