Machine Learning PhDs
Handshake • Remote • Posted 0 days ago
Education
Any
Type
Pay Rate
$75/task
Posted
0d ago
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About this Role
Overview
Handshake is seeking Machine Learning PhDs to support AI research through flexible, hourly contract work. This is not a traditional academic or full-time role. You'll apply your machine learning expertise to evaluate AI-generated content and provide feedback that helps AI systems better understand model architectures, optimization theory, statistical learning, 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
This project involves using your experience in machine learning to design rigorous, domain-relevant questions and review AI-generated responses for accuracy, logical consistency, and technical soundness across ML concepts such as optimization, generalization, and model behavior. No prior AI evaluation or technical experience is 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
Doctoral students and graduates (including those currently enrolled in a PhD program or in postdoctoral positions) in Machine Learning or closely related fields such as Statistics, Computer Science, or AI.
Strong background in machine learning theory, algorithmic analysis, and applied mathematics, including familiarity with optimization, probabilistic modeling, and statistical inference.
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 Data Science
- Current university student or recent graduate with .edu email
Compensation Analysis
Shape the "brain" of future AI. By working as a Machine Learning PhDs, you ensure that future models understand the nuance of your field. At $75/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.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.
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.