Cortez Atkins

Key Skills

Software

Mindrift

Remotasks

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Text

Image

Top Label Types

Classification

Bounding Box

Evaluation Rating

Freelancer Overview

I have a strong background in education, youth development, and team leadership, which has helped me develop keen attention to detail and a commitment to accuracy—skills that are essential for data labeling and annotation roles. My experience designing and implementing structured lesson plans, assessing individual progress, and managing classroom environments has equipped me with the ability to follow detailed guidelines, maintain consistency, and ensure high-quality results. I am comfortable working independently or as part of a team, and I am eager to apply my organizational skills and dedication to quality in supporting AI training data projects, particularly those involving image, video, or text annotation for educational or youth-focused domains.

Labeling Experience

AI Data Annotator — Mindrift

MindriftTextClassification

As an AI Data Annotator, I labeled and categorized large language datasets to improve machine learning model performance. My tasks included text annotation across intent, sentiment, and content domains while adhering to strict quality guidelines. I consistently reviewed and corrected annotated data to guarantee reliability. • Labeled diverse text data for natural language processing. • Applied annotation guidelines for consistency and quality. • Maintained high accuracy and productivity targets. • Utilized Mindrift software for remote annotation and review.

As an AI Data Annotator, I labeled and categorized large language datasets to improve machine learning model performance. My tasks included text annotation across intent, sentiment, and content domains while adhering to strict quality guidelines. I consistently reviewed and corrected annotated data to guarantee reliability. • Labeled diverse text data for natural language processing. • Applied annotation guidelines for consistency and quality. • Maintained high accuracy and productivity targets. • Utilized Mindrift software for remote annotation and review.

2024

AI Training Data Contributor — Outlier AI

AppenTextEvaluation Rating

As an AI Training Data Contributor, I evaluated AI-generated outputs and provided quality ratings based on clarity and factual accuracy. Comparative ranking tasks supported reinforcement learning optimization. My feedback contributed directly to improving future AI model responses. • Rated and evaluated text outputs for RLHF tasks. • Provided structured feedback to help train generative models. • Collaborated remotely for annotation consistency. • Used Outlier AI's evaluation platform for all tasks.

As an AI Training Data Contributor, I evaluated AI-generated outputs and provided quality ratings based on clarity and factual accuracy. Comparative ranking tasks supported reinforcement learning optimization. My feedback contributed directly to improving future AI model responses. • Rated and evaluated text outputs for RLHF tasks. • Provided structured feedback to help train generative models. • Collaborated remotely for annotation consistency. • Used Outlier AI's evaluation platform for all tasks.

2023

Data Labeling Specialist — Remotasks

RemotasksImageBounding Box

In my role as Data Labeling Specialist, I annotated image and video datasets to support computer vision model training. I used segmentation and bounding box tools for object identification and classification. Additionally, I performed dataset validation to ensure quality before deployment. • Annotated image and video files for computer vision use cases. • Applied bounding box and segmentation tools via Remotasks. • Documented annotation challenges and edge cases. • Upheld productivity metrics and project standards.

In my role as Data Labeling Specialist, I annotated image and video datasets to support computer vision model training. I used segmentation and bounding box tools for object identification and classification. Additionally, I performed dataset validation to ensure quality before deployment. • Annotated image and video files for computer vision use cases. • Applied bounding box and segmentation tools via Remotasks. • Documented annotation challenges and edge cases. • Upheld productivity metrics and project standards.

2023 - 2024

Education

Work History