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Handshake AI Jobs: What It Is and How Students Apply

What Handshake AI is, how it connects students to AI-training work through the Handshake career platform, and how its application process works.

Updated July 2026 4 min read
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The short answer

Handshake AI is the AI-training arm of Handshake, the career platform many US colleges plug into their job boards. It hires students for LLM training work — writing, rating, and evaluating model responses — with a generalist track that needs no prior experience and a domain-expert track for advanced-degree fields. Applications run through your Handshake account, followed by ID verification, assessments, and project matching.

Quick answer: Handshake AI is the AI-training arm of Handshake, the career platform many US colleges plug into their job boards. It hires students for LLM training work — writing, rating, and evaluating model responses — with a generalist track that needs no prior experience and a domain-expert track for advanced-degree fields. Applications run through your Handshake account, followed by ID verification, assessments, and project matching.

What Handshake AI is, and why you see it in your career portal

Handshake is the career platform many US colleges connect directly to their job boards — the place your school points you to for internships and first jobs. Handshake AI is its arm that hires students to help train large language models for AI labs. Because it’s built into a career portal many students already use, its roles show up alongside regular campus job listings, which is why so many students run into it before they’ve heard of any other AI-training platform.

If you want the fuller picture of what this kind of work involves day to day, the AI training jobs guide covers the role itself.

The two tracks

Handshake AI’s roles split into two tracks:

  • A generalist track built for regular students: writing and evaluation work that needs no prior experience. Typical tasks are writing ideal responses to prompts, rating and ranking model outputs, fact-checking, and evaluating answers against a rubric.
  • A domain-expert track for fields like STEM, law, and medicine, aimed at candidates with advanced degrees or deep subject knowledge, working on harder specialist material.

Both are remote, flexible contract work — the same broad category mapped in entry-level AI jobs.

Requirements and who can apply

As listed, the roles are open to associate, bachelor’s, and master’s students and recent grads across all majors. The practical requirements:

  • Operates in the US and Canada only, with work authorization required.
  • US workers need an SSN or ITIN for tax purposes.
  • A Handshake account, since roles are posted and applied for through the platform.
  • No prior experience for the generalist track; the domain-expert track looks for advanced coursework or degrees in the relevant field.

For what AI-training work pays as a role type — entry-level evaluation work typically lands in the $15–30/hour range industry-wide, with specialist tiers higher — see AI trainer salary.

How the application process works

  1. Find the role in Handshake. Handshake AI roles are posted inside university career portals and on the Handshake platform itself; you apply through your Handshake account.
  2. Verify your identity. ID verification comes before any work, standard for platforms handling paid remote contracting.
  3. Complete assessments. Skills assessments determine which project types you qualify for — writing quality and careful rubric-following matter most on the generalist track.
  4. Get matched to projects. Work arrives as project placements rather than an open task queue, so timing depends on demand for your profile.

How to improve your odds

  • Polish your Handshake profile first. It’s the application surface — complete education details, coursework, and writing-relevant experience all help.
  • Treat assessments as the real interview. Read instructions completely and follow rubrics literally; consistency is the skill being tested.
  • Name your domain depth. Even on the generalist track, listing strong coursework in a specific subject can qualify you for better-fitting projects.
  • Keep records. As with any contract work, log your hours and tasks independently — a habit worth building on every platform.

A safety note

Because AI-training work is heavily advertised to students, it’s also heavily imitated by scammers. The generic red flags apply: legitimate platforms never charge a fee to join, never recruit you cold over WhatsApp, Telegram, or text, never send checks to deposit and partially return, and never ask for bank logins. Apply only through the official platform — in this case, your own Handshake account — and check anything unfamiliar against the checklist in is data annotation legit.

FAQ

How do I apply to Handshake AI? Through your Handshake account. Roles are posted in university career portals and on the platform; after applying, you complete ID verification and skills assessments, then get matched to projects.

What work does Handshake AI offer? LLM training work: writing ideal responses to prompts, rating and ranking model outputs, fact-checking, and evaluating answers against rubrics. A generalist track needs no experience; a domain-expert track covers specialist fields like STEM, law, and medicine.

Do I need experience or a specific major? Not for the generalist track — it’s open to associate, bachelor’s, and master’s students and grads across all majors. The domain-expert track looks for advanced degrees or deep coursework in the relevant field.

Who can work for Handshake AI? Students and grads in the US and Canada with work authorization; US workers need an SSN or ITIN. Roles are remote contract positions.