Become a Data Worker

How to Participate as a Data Worker on EDITH

Initial Setup Requirements

  1. Connect Your Wallet

    • Visit EDITH platform

    • Connect your Web3 wallet (MetaMask, WalletConnect, etc.)

    • Accept platform terms

  2. Complete Profile Setup

    • Select your areas of expertise

    • Choose preferred task types

    • Set your availability preferences

Available Work Types

  1. Data Contribution

    • Upload relevant data (images, text, audio)

    • Ensure data meets quality guidelines

    • Submit in specified formats

  2. Data Labeling

    • Select tasks from available pool

    • Follow labeling instructions

    • Submit completed work for review

  3. Data Verification

    • Review submitted data

    • Check label accuracy

    • Provide quality feedback

Working Process

  1. Task Selection

    • Browse available task pools

    • Check task requirements

    • View reward rates

    • Select suitable tasks

  2. Task Completion

    • Follow task guidelines

    • Use provided tools

    • Submit within timeframe

    • Maintain quality standards

  3. Quality Standards

    • Follow accuracy guidelines

    • Meet completion criteria

    • Maintain consistency

    • Address feedback

Reward System

  1. Earning Structure

    • Base rewards per task

    • Quality multipliers

    • Consistency bonuses

    • Special project rewards

  2. Payment Process

    • Automatic reward distribution

    • Regular payment cycles

    • Minimum withdrawal amounts

    • Available withdrawal methods

Performance & Growth

  1. Reputation System

    • Quality scores

    • Completion rates

    • Accuracy metrics

    • Response time

  2. Access Levels

    • Entry level tasks

    • Advanced task pools

    • Premium projects

    • Specialized assignments

Important Guidelines

  1. Quality Requirements

    • Follow task instructions

    • Meet accuracy standards

    • Submit within deadlines

    • Maintain consistent quality

  2. Platform Rules

    • Adhere to guidelines

    • Respect task requirements

    • Maintain professional conduct

    • Follow data protocols

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