Glossary
Annotators play a crucial role in making raw data usable for AI training by labeling and organizing information. Their tasks include tagging images, aligning multi-modal content, and categorizing text. Accurate annotations are essential for ensuring that AI models interpret data correctly, as poor labeling can lead to unreliable or biased results.
Displayed as the homepage, it provides information about your total Sahara Points, a record of the points’ origin, your rank on the leaderboard, rewards, and more.
The process of assigning labels to raw data in order to provide context for machine learning.
This is a hub where you can find, apply for, and complete tasks in exchange for Sahara Points.
A contribution to a data labeling task on the Data Services Platform. Every annotation or review is a datapoint used to build out a high-quality dataset. Datapoints that pass quality benchmarks earn Sahara Points as a reward.
At the end of each season, rewards are distributed according to rank to encourage high performance. See End-of-Season Reward for more information.
Experience Points (EXP) can be earned by completing achievements such as daily check-ins, submitting validated data points for tasks daily, and reaching specific milestones on the platform. Accumulating EXP is crucial for climbing the leaderboard, which unlocks better rewards, higher user tiers, and exclusive opportunities in future seasons.
The faucet grants free testnet tokens (SAH) to users for sake of claiming EXP in the platform.
This term refers to participants who apply for tasks in the Sahara Data Services Platform to annotate or review data for use in AI models.
The rank of an individual is determined by the total number of EXP accumulated. Higher ranks correspond to higher bonus rewards at the end of each season. See Points and Ranking for more information.
Reviewers validate and refine the work of annotators to uphold the platform’s high standards. They ensure every dataset meets stringent quality criteria. Quality control is critical to building reliable datasets that developers can trust, making reviewers an essential part of the process.
A Sahara Point is the basic reward unit in the Sahara system, earned by completing tasks in the Data Services Platform. Points can be used to earn EXP, level up, and gain access to premium tasks in future seasons.
A season refers to a specific timeframe in which you can complete tasks to earn Sahara Points and improve your ranking. Participant scores are compared with others to determine season-end rank and bonus rewards. Season 1 of the Sahara AI Data Services Platform is a pivotal period for users to establish their footing before the more challenging upcoming seasons.
SBTs are non-transferable digital tokens tied to an individual’s identity or achievements within a blockchain ecosystem. Unlike traditional tokens, SBTs cannot be traded or transferred, ensuring their authenticity as a unique representation of the holder’s reputation, credentials, or contributions. Within our Data Services Platform, SBTs play a critical role by validating the credibility of data contributors and rewarding meaningful participation. This ensures data integrity and provenance while fostering a transparent, collaborative environment where contributors are recognized for their value without compromising privacy.
Suspension refers to a temporary or permanent ban from a task due to falling below accuracy benchmarks or a ban from the platform for consistently low accuracy scores. Extremely low performance in data tasks, such as failing to meet the minimum quality standards repeatedly, will trigger suspension.
Tasks are data labeling projects that earn Sahara Points. They can be found in Data Services and fall under various interest and expertise categories.
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