Peter N.

Key Skills

Software

iMerit

Top Subject Matter

Autonomous vehicle (computer vision)

Healthcare Data & Medical Documentation

and NLP (RLHF text evaluation)

Top Data Types

Image

Text

Top Task Types

Classification

Bounding Box

Text Summarization

Transcription

Entity (NER) Classification

Data Collection

Polygon

Point/Key Point

Question Answering

Evaluation/Rating

Freelancer Overview

Data Labeler — iMerit Scholar / iMerit Technology (2021 – Present). Core strengths include iMerit. Education includes Bachelor of Science, University of Nairobi (2023). AI-training focus includes data types such as Image and Text and labeling workflows including Segmentation.

Labeling Experience

Data Labeler — iMerit Scholar / iMerit Technology (2021 – Present)

iMeritImageSegmentation

Data Labeler at iMerit Scholar, performing high-precision annotations to support autonomous vehicle and healthcare machine learning initiatives. Worked on computer vision labeling tasks including bounding boxes, polygon annotations, and semantic segmentation across large-scale datasets. Ensured label consistency by following strict project guidelines and coordinating with QA for edge-case coverage. • Bounding boxes and polygon labeling for image-based datasets • Semantic segmentation annotations for computer vision use cases • RLHF-style evaluation and ranking of AI-generated text for safety, accuracy, and helpfulness • 95%+ accuracy maintained while meeting labeling deadlines

2021 - Present

Education

Work History