Handshake AI
Handshake AIVerified listing
Remote

Career and Technical Education Professor - Remote

Up to 75/hr
Remote
Posted September 17, 2026
Part-Time
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Listing checked September 18, 2026 · pay as published by Handshake AI

Overview

Handshake AI recruits college vocational instructors and technical education teachers for a part-time, temporary AI research project. You do not need prior AI experience to take part. The work asks you to review what AI models produce in your subject area, judge content tied to your field, and send structured feedback that helps the system better grasp workplace tasks and language. If you teach vocational education or technical education, your subject knowledge is the main qualification. Projects open throughout the year across different areas of expertise, so assignments arrive in waves.

What You'll Do7

  • 1Review outputs from AI models that relate to your trade, technical field, or teaching area.
  • 2Assess sample content for accuracy, context, and fit with real workplace practice.
  • 3Write feedback that explains errors, missing details, and unclear terms.
  • 4Describe tasks and language from your profession so the model can interpret them.
  • 5Flag responses that misuse industry terms or misrepresent your field.
  • 6Provide clear notes when a model output needs more context.
  • 7Track hours for each assignment.

Requirements6

  • 1Current or former college instructor in a vocational or technical education program.
  • 2Hands-on professional experience in the subject you teach.
  • 3Ability to review written or technical content and spot factual gaps.
  • 4Strong written communication skills for structured feedback.
  • 5Willingness to work on a part-time, temporary basis.
  • 6No prior AI experience required.

Who Should Apply

The role fits current college vocational instructors and technical education teachers who want remote, part-time project work and can critique AI outputs in their own field. You bring deep subject knowledge from years in a trade or technical program, and you can explain workplace tasks in plain language. Candidates who lack teaching experience in vocational or technical education, or who need a full-time permanent post, will find this project a poor match. Many applicants lose fit score when they send generic feedback samples, cite no specific course or trade, or cannot show recent work in the subject area. A weak written sample that misses errors in model output also hurts your chances.

Salary Insight

This fellowship pays up to $75.00 per hour. That rate sits at the high end for project-based AI evaluation work and often matches experienced instructors or subject matter experts with deep domain knowledge. Since assignments open at different times of the year, your total hours depend on which projects need your expertise.

Pay and demand for Higher Education & Research roles

Aggregated

Typical pay

$75/hour

This role

up to $75/hr

Most Higher Education & Research roles pay $50–$100 per hour. This role's pay falls inside that range.

Based on 525 similar roles that publish pay · 92 publish only a top rate; those count at the rate they gave

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

Live similar roles
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Most requested skills · share of roles

  • python
    17%
  • technical writing
    9%
  • llm evaluation
    8%
  • data annotation
    7%

Figures from Higher Education & Research roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.

Compare your resume against these roles

Location

Typeremote
LocationRemote
Eligible countriesUnited States
This is a remote position

Compensation

Up to $75/hr

Required Skills

ai model evaluationcontent assessmentwritten feedbackvocational educationtechnical educationcareer and technical educationsubject matter expertiseinstructional reviewdomain expertisequality reviewai researchworkplace languagemodel output reviewcontent accuracy

Application Tip

Name the exact vocational or technical courses you teach, then include one short sample of feedback you would give to an AI model that misstates a task or term in your field.

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Application & verification flow

  1. 1Instant rubric match

    Your resume is scanned against this role’s requirements to check qualification fit.

  2. 2Screened before the employer sees it

    Only profiles that clear screening are passed on.

  3. 3Outcome by email

    We notify you at the address on your resume once the screening is reviewed.

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