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P

Prosper N.

AI Data Labeler, DataForce by Transperfect (Remote)

Nigeria flagAbuja, Nigeria

Key Skills

Software

Other
AppenAppen

Top Subject Matter

Computer vision and multimodal AI data labeling.
NLP and computer vision dataset labeling.

Top Data Types

ImageImage

Top Task Types

SegmentationSegmentation
ClassificationClassification

Freelancer Overview

AI Data Labeler, DataForce by Transperfect (Remote). Core strengths include Other and Appen. Education includes Bachelor of Computer Applications, Christ University (2023). AI-training focus includes data types such as Image and labeling workflows including Segmentation and Classification.

Labeling Experience

AI Data Labeler, DataForce by Transperfect (Remote)

OtherImageImageSegmentationSegmentation

Produced high-quality annotations for computer vision datasets across images, text, and audio to support machine learning model training. Created bounding boxes, polygons, and segmentation masks with strict adherence to provided guidelines. Performed review and correction cycles to maintain label accuracy and consistency while meeting daily productivity and quality targets. • Drew precise bounding boxes, polygons, and segmentation masks per specification. • Ensured annotation accuracy and consistency according to project rules. • Reviewed, corrected, and validated annotations to uphold data quality. • Met daily productivity and quality targets for labeled outputs.

2024 - Present
Appen

Data Annotation Associate, Appen (Remote)

AppenAppenImageImageClassificationClassification

Labeled and categorized image, text, and audio-related data for NLP and computer vision model development. Transcribed audio clips accurately and applied detailed labeling guidelines to produce consistent annotations. Maintained annotation quality through careful task execution and guideline compliance for classification, detection, and text labeling workflows. • Worked on image classification, object detection, and text labeling tasks. • Transcribed audio clips with high accuracy for dataset preparation. • Categorized and labeled data for NLP and computer vision models. • Followed detailed guidelines to maintain annotation quality.

2023 - 2023

Education

C

Christ University

Bachelor of Computer Applications, Computer Applications

Bachelor of Computer Applications
2020 - 2023

Work History

B

Boral pharmacy

Accountant

Abuja
2020 - 2025