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Trading Card Grading Advisor (contract)

  • Toronto, ON, Canada
  • Greater Toronto Area, Canada, Canada

$35 to $50 CAD / hour · Contract

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Job details

Pay
$35 to $50 CAD / hour
Job type
Contract
Apply by
Working hours
5 to 10 hours per week
Posting language
English
Posted

Original job description

About IGS

IGS (igrading.ai) uses computer vision to grade trading cards on centering, corners, edges and surface, giving collectors fast, consistent pre-grades before they submit, buy or sell. We're starting with Pokémon TCG and plan to expand to other TCGs and sports cards. Down the road, we'll offer an API so card shops, marketplaces and collectors can build grading checks right into their workflows.

The role

We're looking for an experienced Pokémon card grader to help make our grades match what PSA, BGS (Beckett), CGC and TAG actually return. You'll review card images, compare our AI grades to real-world results, flag edge cases and trimmed or altered cards, and help write the grading guidelines our model is trained on.

Your first project: blind-grade a set of Pokémon cards and compare your calls against our model, then walk us through where it's wrong.

Details

  • Contract, roughly 5 to 10 hours per week to start
  • Greater Toronto Area, mostly remote with occasional in-person sessions
  • $35 to $50 CAD per hour, depending on experience

You're a fit if you

  • Have personally submitted a large volume of Pokémon cards to PSA, BGS, CGC or TAG
  • Can spot centering, surface, edge and corner issues from images and explain your reasoning clearly
  • Know how grading standards differ between companies
  • Are active in the hobby: card shows, local game stores, breaks, Whatnot or other live streaming
  • Bonus: experience grading other TCGs (Magic, One Piece, Yu-Gi-Oh!) or sports cards
  • Are curious about how AI can make grading faster and more consistent
More about this job

Responsibilities

Review trading card images and compare AI-generated grades with real-world grading outcomes from PSA, BGS, CGC, and TAG. Identify edge cases and altered cards, explain grading discrepancies, and help develop guidelines for training the grading model.

Requirements

Applicants should have personally submitted a large volume of Pokémon cards to PSA, BGS, CGC, or TAG and be able to identify and clearly explain centering, surface, edge, and corner issues from images. They should understand differences among grading companies and be active in the trading card hobby; experience with other TCGs or sports cards is a bonus.

Skills

  • Pokémon Card Grading
  • Card Centering Assessment
  • Surface Inspection
  • Edge Inspection
  • Corner Inspection
  • Image-Based Evaluation
  • Grading Standards
  • Comparative Grading
  • Altered Card Detection
  • Grading Guideline Development
  • Clear Communication
  • Trading Card Game Knowledge

Visa sponsorship

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Categories

  • Sports & Recreation
  • Technology
  • Data & Analytics

Keywords

  • IGS
  • Computer Vision
  • Artificial Intelligence
  • Pokémon TCG
  • Trading Cards
  • Card Grading
  • PSA
  • BGS
  • Beckett
  • CGC
  • TAG
  • Centering
  • Corners
  • Edges
  • Surface
  • Card Images
  • Pre-Grading
  • Grading Standards
  • Grading Guidelines
  • Altered Cards
  • Magic: The Gathering
  • One Piece
  • Yu-Gi-Oh!
  • Sports Cards
  • Card Shows
  • Local Game Stores
  • Whatnot
  • API
  • Marketplaces

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