Patrick Manji

Key Skills

Software

Remotasks

Top Subject Matter

General Object Detection

Image Classification

Sentiment and Intent Analysis

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Classification

Freelancer Overview

Data Labeler, Remotasks. Core strengths include Remotasks, N, and A. Education includes Bachelor of Science, Moringa School. AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and Classification.

Labeling Experience

Image Labeling Project

ImageBounding Box

As part of a dedicated image labeling project, I annotated datasets for object detection targeting cars, people, and road signs. My responsibilities included applying bounding boxes accurately and handling edge cases with care. Consistency and adherence to project guidelines were maintained throughout. • Labeled thousands of images for object detection • Applied bounding boxes for various objects • Managed difficulties in edge cases and unclear images • Maintained precision and quality in challenging cases

As part of a dedicated image labeling project, I annotated datasets for object detection targeting cars, people, and road signs. My responsibilities included applying bounding boxes accurately and handling edge cases with care. Consistency and adherence to project guidelines were maintained throughout. • Labeled thousands of images for object detection • Applied bounding boxes for various objects • Managed difficulties in edge cases and unclear images • Maintained precision and quality in challenging cases

Not specified

Text Labeling Project (Freelance)

TextClassification

In this freelancing project, I categorized and tagged text data for sentiment and intent recognition. I worked according to structured guidelines to ensure uniform outputs and high-quality datasets. All tasks were completed within set deadlines for client delivery. • Labeled text entries based on sentiment and intent • Followed detailed annotation protocols for each text batch • Achieved high consistency and quality across thousands of entries • Contributed to high-quality sentiment analysis datasets

In this freelancing project, I categorized and tagged text data for sentiment and intent recognition. I worked according to structured guidelines to ensure uniform outputs and high-quality datasets. All tasks were completed within set deadlines for client delivery. • Labeled text entries based on sentiment and intent • Followed detailed annotation protocols for each text batch • Achieved high consistency and quality across thousands of entries • Contributed to high-quality sentiment analysis datasets

Not specified

Freelance Data Labeler

ImageClassification

As a freelance data labeler, I completed microtasks involving image classification across thousands of entries following specific project guidelines. I ensured labeling consistency and delivered within tight deadlines. The work supported structured categorization for training machine learning models. • Completed high-volume image classification microtasks • Adhered to project-specific labeling and categorization rules • Ensured data quality and consistency across labeled entries • Delivered work rapidly with minimal required revisions

As a freelance data labeler, I completed microtasks involving image classification across thousands of entries following specific project guidelines. I ensured labeling consistency and delivered within tight deadlines. The work supported structured categorization for training machine learning models. • Completed high-volume image classification microtasks • Adhered to project-specific labeling and categorization rules • Ensured data quality and consistency across labeled entries • Delivered work rapidly with minimal required revisions

Not specified

Data Labeler, Remotasks

RemotasksImageBounding Box

In this role, I labeled large volumes of image data using precise bounding boxes and object tagging according to strict annotation guidelines. I maintained high accuracy and consistency, reviewing and correcting errors to improve dataset quality. My efforts contributed to clean training data for machine learning applications. • Applied annotation guidelines for image data labeling tasks • Drew bounding boxes and tagged objects with high precision • Consistently exceeded accuracy benchmarks exceeding 95% • Identified ambiguities and flagged unclear data for review

In this role, I labeled large volumes of image data using precise bounding boxes and object tagging according to strict annotation guidelines. I maintained high accuracy and consistency, reviewing and correcting errors to improve dataset quality. My efforts contributed to clean training data for machine learning applications. • Applied annotation guidelines for image data labeling tasks • Drew bounding boxes and tagged objects with high precision • Consistently exceeded accuracy benchmarks exceeding 95% • Identified ambiguities and flagged unclear data for review

Not specified

Education

Work History