Priscilla M.

Key Skills

Software

Other

Remotasks

Scale AI

Top Subject Matter

NLP (text data annotation, sentiment and entity recognition) for AI training

Computer vision (image annotation for object detection/segmentation) training data

Top Data Types

Text

Image

Audio

Top Task Types

Segmentation

Bounding Box

Polygon

Text Summarization

Evaluation/Rating

Prompt + Response Writing (SFT)

Freelancer Overview

Freelancer, OATA TECH (Remote) — text annotation and labeling services for ML/NLP projects (2021–2022). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Karatina University (2022). AI-training focus includes data types such as Text and Image and labeling workflows including Entity (NER) and Segmentation.

Labeling Experience

Freelancer, OATA TECH (Remote) — image annotation (bounding boxes, segmentation, object labeling) (2021–2022)

OtherImageSegmentation

Conducted image annotation for AI training tasks, including bounding boxes and segmentation-based labeling. Labeled objects and regions according to quality standards and annotation guidelines. Ensured accuracy and consistency and collaborated with AI teams to resolve labeling ambiguities. • Bounding box annotations for object localization • Segmentation and object labeling for region-level learning • Consistency checks against provided guidelines • Feedback-driven improvements with AI teams

2021 - 2022

Freelancer, OATA TECH (Remote) — text annotation and labeling services for ML/NLP projects (2021–2022)

OtherText

Provided text annotation for NLP training, including sentiment labeling, entity recognition, and data categorization. Followed detailed annotation guidelines to ensure label consistency across projects and datasets. Delivered clean, accurately labeled outputs to support machine learning and AI model training. • Sentiment labeling for text classification tasks • Entity recognition (NER) and data categorization/tagging • Data validation to reduce ambiguity and labeling errors • Quality assurance aligned to project instructions and deadlines

2021 - 2022

Education

Work History