Data Annotators: Paid Tasks for AI Model Training

We are running a paid project focused on generating high-quality labeled data for artificial intelligence models. This ongoing initiative helps refine machine learning systems across a variety of formats and subject matters. Your work directly contributes to improving model accuracy, safety, and reasoning capabilities. You will log into our remote platform to access a queue of diverse annotation assignments, which may include categorizing text, highlighting specific entities, or evaluating AI-generated responses for quality. Terac is building the world's largest pool of vetted human experts for AI.

Responsibilities

Review text or media samples based on provided project guidelines; Apply accurate labels and categorizations to diverse data sets; Evaluate AI-generated responses for clarity, safety, and factual accuracy; Manage your own time to complete assignments at your preferred pace; Work through annotation assignments from a remote platform queue

Requirements

Prior experience in data annotation, data labeling, or AI model evaluation; Detail-oriented; Comfortable working independently; Ability to adapt to new labeling guidelines as project parameters evolve; Strong attention to detail and ability to follow complex guidelines; Comfortable working independently on a remote basis; Familiarity with evaluating AI outputs or machine learning datasets

Benefits

Rolling availability; Flexibility to fit work around existing schedule; Work independently at your own pace