招聘
Overview:
Handshake is seeking Math Ph Ds to support AI research through flexible, hourly contract work. This is not a traditional academic or full-time role. You’ll use your advanced mathematical training to evaluate AI-generated content and provide feedback that helps AI better understand mathematical reasoning, proof construction, and technical problem-solving.
This is an ongoing, project-based opportunity that can be done alongside research, teaching, postdoctoral work, or industry employment.
About Handshake AI:
Details
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This project involves using your experience in mathematics to design rigorous, domain-relevant questions and review AI-generated responses for accuracy, logical consistency, and mathematical rigor. No prior AI or technical experience is required.
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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.
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Placement depends on current project needs, with opportunities to be considered for future projects as they become available.
Qualifications:
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Doctoral students and graduates (including those currently enrolled in a PhD program or in postdoctoral positions) in Mathematics or closely related fields.
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Strong background in advanced mathematical reasoning, proof-writing, and formal logic.
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 https://support.joinhandshake.com/hc/en-us/articles/32245223383703-Fellowship-Work-Authorization-Eligibility for more information on what types of work authorizations are supported on Handshake AI.
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About Handshake

Handshake
Series EHandshake is a career services platform that connects college students and recent graduates with employers for job opportunities and recruiting.
501-1,000
Employees
San Francisco
Headquarters
$3.5B
Valuation
Reviews
3.7
1 reviews
Work Life Balance
3.0
Compensation
3.0
Culture
3.0
Career
2.5
Management
3.0
25%
Recommend to a Friend
Pros
Platform available for job applications
Cons
Difficulty finding jobs
Low success rate after many applications
Salary Ranges
6 data points
Mid/L4
Mid/L4 · Goods In Team Leader and Stock Controller
1 reports
-
total / year
Base
-
Stock
-
Bonus
-
Interview Experience
5 interviews
Difficulty
3.2
/ 5
Duration
14-28 weeks
Offer Rate
60%
Experience
Positive 60%
Neutral 0%
Negative 40%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Interview
6
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Coding/Algorithm
Past Experience
Culture Fit
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