Task Distribution

This section provides a detailed overview of how tasks are allocated across different tiers of contributors, emphasizing the role of reputation scores and the unique lottery system that governs task assignment.

Understanding Tiers and Reputation Score

Recur categorizes data labelers into four distinct tiers, with each tier reflecting a range of expertise and contribution history. The transition from one tier to another is primarily determined by a contributor's reputation score.

Factors Influencing Tier Advancement:

• Successful Task Completion: Regularly completing tasks accurately and on time.

• Submission Quality: Maintaining high-quality submissions with minimal rejections.

• Token Staking: Contributors can boost their reputation score by staking tokens, thereby accelerating their progression to higher tiers.

Diagram Suggestion: A flowchart illustrating the process of advancing through tiers based on reputation score components, including task completion, submission quality, and token staking.

Lottery System for Task Assignment

Task assignments are managed through a lottery system, ensuring all contributors have access to tasks while favoring those with higher reputation scores.

Lottery Mechanics:

Every task enters the distribution pool and is assigned to a tier based on complexity, preferences, and random distribution.

Tier Allocation Formula for Tasks

Given a task $T$, the tier $N$ to which $T$ is allocated can be determined by generating a random percentage $P$ and comparing it to the tier allocation thresholds. The formula and process can be described as follows:

1. Generate a random percentage $P$.

2. Compare $P$ to the tier allocation thresholds:

   • If 0% ≤ P < 6%, allocate $T$ to Tier 1.

   • If 6% ≤ P < 20%, allocate $T$ to Tier 2.

   • If 20% ≤ P < 47%, allocate $T$ to Tier 3.

   • If 47% ≤ P ≤ 100%, allocate $T$ to Tier 4.

Contributors with higher reputation scores have a greater chance of "winning" the lottery for task assignment, reflecting their proven reliability and quality of work.

Probability of Task Assignment = (Contributor's Reputation Score / Total Reputation Score of All Contributors in the Same Tier) * 100%

Boosted Token Rewards by Tier

One of the significant advantages of advancing through tiers is the increase in token rewards for the same tasks. High-tier contributors receive boosted token rewards as recognition of their expertise and quality contributions.

Tier 1: Base reward

Tier 2: Base reward + 10% boost

Tier 3: Base reward + 20% boost

Tier 4: Base reward + 30% boost

Key Takeaways

• Tier System: Four tiers classify contributors by expertise, influenced by their reputation score.

• Lottery System: Assigns tasks through a lottery, where higher scores mean better odds.

• Boosted Rewards: Higher tiers earn more per task, incentivizing quality and commitment.

This structure ensures a competitive and motivating environment for contributors, rewarding those who consistently deliver quality work and actively engage with the platform. By understanding the intricacies of task distribution, contributors can strategize their participation and growth within the ecosystem, aiming for higher tiers and the benefits that come with them.