Requirements
- Must be based in the United States with valid work authorization supported by Handshake.
- Relevant educational background, professional knowledge, or demonstrated skills for the selected project.
- Strong written communication, analytical reasoning, and attention to detail.
- Ability to review AI-generated content and follow detailed project instructions.
- Completion of an accurate Handshake profile and submission of a PDF resume.
- Government-issued identification for identity verification through Persona.
- Completion of required tax documentation and Stripe payout setup.
- Successful completion of any project-specific assessments or training exercises.
- Reliable internet access and equipment suitable for remote work.
- Ability to maintain project quality standards and comply with participation requirements.
Eligible countries
United States, Canada, and selected European countries like the United Kingdom.
Task types
Writing, Rating responses, Coding, Expert document evaluation, Research, Data annotation
Assessment details
Application review, identity verification, and possible project-specific assessments, training exercises, or portfolio reviews.
Pros
- Offers AI training projects for generalists as well as specialized professionals.
- No previous AI training experience required for selected opportunities.
- Flexible remote schedules without a universal minimum weekly commitment.
- Weekly payment processing through Stripe.
- Publishes detailed information about project earnings, adjustments, and payment disputes.
Cons
- The AI Fellowship is currently restricted to US-based applicants with supported work authorization.
- Some onboarding, training, and assessment activities are unpaid unless compensation is explicitly specified.
- Hourly tasks may have payment time caps, so time spent beyond the allowed limit may not be compensated.
- Projects can pause or end with limited notice, and inactivity can result in reassignment.
- Contributors report disputes over adjusted work hours, project removal, and limited explanations during appeals.
How to apply
- Visit the Handshake AI Fellowship application page and sign in or create an account using your email address.
- Provide your education, professional experience, skills, work authorization, and PDF resume. Review and accept the applicable agreements.
- Handshake reviews applications against available projects. If your background matches an opportunity, you may receive an invitation to express interest.
- Submit any additional information requested and finish project-specific assessments, portfolio reviews, or qualification exercises.
- Complete persona identity verification, submit required tax information, and configure your Stripe payout account.
- Review the project terms, finish onboarding, and start approved AI training tasks when access is granted.
Frequently asked questions
1. What is Handshake AI Fellowship?
Handshake AI Fellowship is a paid program connecting US-based students, graduates, and professionals with projects that help train and improve artificial intelligence models.
2. Is Handshake AI legitimate?
Yes. Handshake operates an established career platform and publishes official AI Fellowship opportunities, contributor agreements, and payment policies. However, there are independent complaints about work availability and payment adjustments.
3. How much does Handshake AI pay?
Rates vary by role. Official advertisements include AI evaluation work offering up to $17 per hour and specialized software engineering work offering up to $150 per hour. These are advertised ceilings, not guaranteed earnings.
4. How often does Handshake AI pay?
Handshake generally processes approved payments weekly, typically initiating payouts by Wednesday afternoon for the previous Monday-through-Sunday work period.
5. What payment method does Handshake AI use?
Handshake AI uses Stripe to process contributor payments. Contributors must complete the required payment and tax setup before getting paid.
6. Is Handshake AI available worldwide?
No. The main AI Fellowship currently requires participants to be based in the United States with valid supported work authorization.
7. Can beginners apply to Handshake AI?
Yes. Some opportunities do not require prior AI training experience, although specialized projects may require relevant academic qualifications or professional expertise.
8. Does Handshake AI require coding?
No. General AI evaluation, writing, and annotation projects may not require coding, while software engineering roles do.
9. Does Handshake AI require assessments?
Some projects require skill assessments, training exercises, portfolio reviews, or practice tasks. There is no single universal assessment for every role.
10. Is training paid on Handshake AI?
Some project training and onboarding are paid, while other activities are not. Contributors should check the applicable project terms before completing training.
11. Does joining guarantee paid work?
No. Handshake matches applicants to available projects based on their expertise and demand. There is no fixed timeline for receiving an assignment.
12. Can I work whenever I want?
Many projects offer flexible schedules without fixed shifts. However, task availability, time limits, weekly caps, and participation requirements can apply.
13. Does Handshake AI have a referral program?
Yes. Approved fellows can receive referral bonuses when new contributors join through their links, complete onboarding, and perform qualifying paid project work.
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