Data Annotators: Categorize Data for AI Training

AI Training & Evaluation • Paid Gig (Paid research study) • Remote • via Terac

This role is hiring through Terac, not NeonLabs. The description below is Terac’s own wording from their official listing, so "we" and "our" refer to Terac.

Overview

The Data Annotators: Categorize Data for AI Training role is a remote contract position. It suits experienced professionals who want flexible, project-based AI work reviewed on a rolling basis. You collaborate directly with client teams on real deliverables that help train and evaluate next-generation AI systems, with no long-term commitment required.

We are conducting a paid project focused on categorizing and labeling datasets for machine learning models. We need detail-oriented individuals to review data points and apply precise annotations according to specific guidelines.

What We're Researching

We are running a paid project focused on high-quality data annotation for artificial intelligence models. This work directly feeds into training algorithms to better understand and categorize complex information. Accurate labeling ensures these systems operate safely and effectively in real-world scenarios.

How It Works

You will complete a series of remote data annotation tasks using our online platform. During each session, you will review various data points and apply specific labels based on provided instructions. You will need to carefully read the guidelines for each batch of data to ensure consistent categorization. The process involves working asynchronously through sets of information and submitting your completed annotations for quality review.

Who This Is For

We are looking for detail-oriented individuals with strong reading comprehension and analytical skills. We welcome experienced data annotators, quality assurance testers, and administrative professionals who excel at following strict guidelines. If you have a track record of maintaining high accuracy on focused tasks, you are an ideal fit for this work.

What you will do

• Review provided data points for accuracy and specific contextual cues
• Apply specific labels and categories based on detailed project guidelines
• Maintain consistent quality across multiple batches of information
• Follow structured instructions to help train machine learning models

Who qualifies

• Strong attention to detail and ability to follow strict formatting rules
• Comfortable working independently on focused categorization tasks
• Reliable internet connection for accessing remote annotation tools
• Prior experience with data entry, labeling, or quality assurance is a plus

Details

• Pay: $2/hr
• Format: Paid research study • Remote • flexible timing
• Open spots: 500
• Eligibility: United States
• Platform: Terac

Apply directly through Terac using the link below. Terac connects professionals to short, paid research studies, interviews, and surveys you can complete remotely.