Hope E.

Key Skills

Software

CVAT

Label Studio

Other

Remotasks

Supervisely

Top Subject Matter

Computer vision image annotation (object detection, segmentation)

NLP text sentiment labeling

3D sensor annotation and autonomous driving datasets

Top Data Types

Image

Text

3D Sensor

Top Task Types

Bounding Box

Emotion Recognition

Cuboid

Diagnosis

Freelancer Overview

Freelance Data Annotator (Self-employed). Core strengths include CVAT, Label Studio, and MakeSense.ai. Education includes Bachelor of Science, University of Benin and Certificate Program, ALX Africa. AI-training focus includes data types such as Image, Text, and 3D Sensor and labeling workflows including Bounding Box, Emotion Recognition, and Cuboid.

Labeling Experience

Data Labeling (Datalens Africa)

CVATDiagnosis

Data labeling specialist working on medical imaging datasets for pneumonia detection research. Created bounding box and polygon annotations plus classification labels using computer vision tooling and project protocols. Collaborated with radiologists to refine labeling guidelines for improved label reliability. • Annotated 2,500+ medical images for pneumonia detection research project • Labeled X-ray/medical imagery using bounding boxes, polygons, and classification • Collaborated with radiologists to refine labeling protocols • Ensured consistent annotation outputs for downstream diagnostic use

2024 - Present

Data Annotation Contributor

Remotasks3D SensorCuboid

Data Annotation Contributor at Remotasks covering mixed sensor labeling, including basic LiDAR and image-related tasks. Produced 3D cuboid bounding boxes and lane segmentation labels following platform instructions. Maintained performance targets through accuracy scoring and regular task completion. • Completed over 200 tasks with 88% quality score • Labeled with cuboid 3D bounding boxes and lane segmentation • Maintained 92% weekly active rate • Performed annotation work on image and basic LiDAR inputs

2024 - Present

Freelance Data Annotator (Self-employed)

OtherTextEmotion Recognition

Freelance Data Annotation of text data with a focus on sentiment labeling and classification. Labeled customer review entries according to predefined annotation guidelines. Used quality checks to ensure consistency across labeled examples. • Performed text sentiment classification for 202+ customer review entries • Maintained adherence to labeling guidelines for reliable sentiment categories • Completed quality assurance checks to keep labels consistent with rubric • Supported dataset preparation for downstream NLP tasks

2024 - Present

Freelance Data Annotator (Self-employed)

CVATImageBounding Box

Freelance Data Annotator performing computer vision labeling for image datasets using common annotation platforms. Responsibilities included creating bounding boxes, polygon segmentation, and classification labels while adhering to project-specific guidelines. Quality was maintained through audits of both self and peer annotations. • Annotated 2,500+ images with 95%+ IoU accuracy following strict guidelines • Completed quality assurance reviews on peer annotations to maintain consistency • Achieved average task completion time 60% under expected benchmarks • Labeled images for object detection and segmentation using CVAT, Label Studio, and MakeSense.ai

2024 - Present

Education

Work History