Handshake AI
Handshake AIVerified listing

Remote AI Evaluation Specialist in Canada

15/hr
Remote
Part-Time
Posted October 19, 2026
Not sure you qualify? Match your resume

Listing checked October 18, 2026 · pay as published by Handshake AI

Key details

Pay
$15/hr
Location
Remote
Job type
Part-Time
Posted
October 19, 2026

Overview

Handshake AI hires students and degree holders across Canada to support research programs run with leading AI labs. Contributors use their academic background to sharpen how Large Language Models (LLMs) handle specialized subjects. The work happens on remote, asynchronous AI training projects, and you set your own hours with no minimum commitment. Typical tasks range from writing domain-specific prompts to reviewing and grading LLM responses. Project placement depends on what work is open at the time.

What You'll Do6

  • Build prompts tailored to a chosen subject area so models face challenging questions.
  • Assess model answers for accuracy, reasoning, and instruction following.
  • Score responses against project guidelines and note where they fail.
  • Document findings or feedback for research teams in a clear format.
  • Follow detailed task instructions for each short-term project.
  • Adapt to new domains and project briefs as assignments change.

Requirements6

  • Current enrollment in an Associate's, Bachelor's, or Master's program, or a completed degree.
  • Residency in Canada.
  • Show exceptional attention to detail and follow detailed instructions with accuracy.
  • Comfort with remote, asynchronous work and independent schedules.
  • Work with leading AI research labs in a remote setting.
  • Use reasoning skills strong enough to challenge advanced AI systems.

Who Should Apply

Students and graduates based in Canada who want flexible, project-based AI work fit this role well. Ideal candidates hold or pursue an Associate's, Bachelor's, or Master's degree and can commit to short assignments without a fixed schedule each week. The work rewards people who read detailed instructions and can judge model outputs with logic and care. Candidates who need guaranteed hours, steady long-term employment, or close supervision may find the setup a poor match. Applications often lose momentum when a candidate cannot show Canadian residency or when their reasoning examples stay vague rather than concrete.

Salary Insight

The listed pay is $15.00 per hour. For part-time, project-based AI evaluation work, that rate sits at the entry-level end of the range, which tracks with a fellowship-style program open to current students and recent graduates. The listing does not mention overtime, bonuses, or pay progression, so treat the hourly figure as the full known compensation at this stage.

Pay and demand for AI Training roles

Market estimates from live NearSkill listings — separate from this job's published terms.

Aggregated

This role · as published

$15/hr

Taken from the listing itself.

Typical pay · estimated

$70/hour

Median of 1,264 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave

Most AI Training roles pay $40–$95 per hour. This role's pay sits below that range.

Typical rangeMedian payThis role

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

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Figures from AI Training 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

Required skills

Large Language ModelsLLM EvaluationPrompt EngineeringAI TrainingResponse GradingData AnnotationReasoning AssessmentInstruction FollowingDomain Specific PromptingRemote CollaborationAsynchronous WorkQuality Review

How applying works

  1. 1. Pre-screen on NearSkill

    A quick application on NearSkill checks your fit against this role.

  2. 2. Finish on the employer’s site

    We hand you to Handshake AI’s official application page to complete the form.

  3. 3. Wait for a response

    The employer’s hiring team reviews applications and gets back to you.

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