OpenTask
  • 🌋The Freelance Economy Is Broken – What Comes Next?
    • The Rise and Limitations of Traditional Freelancing
    • The Web3 Vision and Its Shortcomings
    • The Next Evolution of Freelancing
  • 🔦introduction
    • OpenTask - A New Era of Freelancing
    • Why OpenTask Stands Out?
    • The OpenTask Ecosystem: How It Works
  • 🔊Freelancer Accountability: Ensuring Quality and Fairness
    • Standards for High-Quality Work
    • Reward Distribution & Performance Incentives
    • Penalties & Freelancer Restrictions
  • 🎺Employer Accountability: Ensuring Trust and Fair Hiring
    • Employer Responsibilities & Code of Conduct
    • Employer Reputation & Trust Score System
    • Employer Penalties & Sanctions for Misconduct
  • 🌼Decentralized Governance: The Power of DAO in OpenTask
    • DAO-Powered Dispute Resolution
    • Smart Contract Enforcement & Payment Protection
    • Platform Policy & Governance Decisions
    • Staking & Voting Power
    • Decentralized Reputation & Trust Enforcement
  • 💰Tokenomics
    • Tokenomics
  • 🛞Roadmap
    • Roadmap
  • ❓FAQ
    • FAQ
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On this page
  • Employer Trust Score (NFT-Based Reputation System)
  • Freelancer Reviews & AI-Based Employer Scoring
  1. Employer Accountability: Ensuring Trust and Fair Hiring

Employer Reputation & Trust Score System

Employer Trust Score (NFT-Based Reputation System)

  • Employers earn a Trust Score NFT, which grows based on positive freelancer reviews, fair dealings, and dispute resolution compliance.

  • A higher Trust Score gives employers priority hiring access to top-tier freelancers.

  • Low-rated employers (due to frequent disputes, non-payment, or unethical behavior) will have reduced visibility in the marketplace.

Freelancer Reviews & AI-Based Employer Scoring

  • Just as employers review freelancers, freelancers can also rate employers based on:

Payment speed (Did they release funds promptly?)

Clarity of requirements (Was the task well-defined?)

Fairness & professionalism (Was the employer respectful & ethical?)

  • AI-powered analysis will detect patterns of employer misconduct (e.g., frequent disputes, and multiple cancellations) and flag high-risk employers.

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Last updated 14 days ago

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