Goodluck O.

Key Skills

Software

Other

LabelImg

Top Subject Matter

NLP/Text (Sentiment, NER, Intent)

Computer Vision (Image Annotation, Segmentation)

Speech/Audio Transcription (Diarization, Noise/Accents)

Top Data Types

Text

Image

Audio

Top Task Types

Entity (NER) Classification

Segmentation

Transcription

Freelancer Overview

Independent Data Labeling Practice (Self-Directed). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and LabelImg. Education includes Bachelor of Engineering, Federal University of Petroleum Resources Effurun (2026). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER) Classification, Segmentation, and Transcription.

Labeling Experience

Independent Data Labeling Practice (Self-Directed)

OtherTextTranscription

You performed self-directed audio transcription exercises to build accurate text outputs from spoken audio. • Transcribed spoken audio with attention to punctuation and speaker diarization. • Labeled audio attributes including background noise, accents, and non-verbal cues. • Maintained consistent formatting and style across transcription batches. • Practiced transcription accuracy and speed to meet annotation throughput expectations.

2024 - Present

Independent Data Labeling Practice (Self-Directed)

LabelImgImageSegmentation

You completed self-directed image labeling practice covering object localization and segmentation. • Drew bounding boxes, polygons, and semantic segmentation masks for labeled objects. • Annotated images to build proficiency with shape-based labeling. • Performed quality-checking of annotations for consistency and accuracy. • Followed best practices for producing clean labels at volume.

2024 - Present

Independent Data Labeling Practice (Self-Directed)

OtherTextEntity (NER) Classification

You performed self-directed text annotation focused on sentiment and entity recognition using publicly available datasets. • Labeled sentiment and named entities according to consistent annotation guidelines. • Worked on tasks involving intent and naturalness/relevance checks. • Applied NLP label categories such as grammatical structures and coreference-related outputs. • Evaluated AI-generated text for accuracy and relevance in RLHF-style style review exercises.

2024 - Present

Education

Work History