Fidelis Obiora N.

Key Skills

Software

Scale AI

Appen

Top Subject Matter

Computer vision (image labeling) for AI training

Audio transcription/review for AI training

NLP entity extraction (NER) for AI training

Top Data Types

Image

Audio

Text

Document

Top Task Types

Bounding Box

Transcription

Classification

RLHF

Freelancer Overview

Freelance Data Labeling Specialist (Image Annotation). Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenTrain AI, Scale AI, and Appen. Education includes Secondary School Certificate (SSCE), Achara Secondary Commercial School (2011). AI-training focus includes data types such as Image, Audio, and Text and labeling workflows including Bounding Box, Transcription, and Entity (NER).

Labeling Experience

Freelance AI Training Annotator (RLHF Feedback)

TextRLHF

Provided human feedback on AI-generated outputs to support Reinforcement Learning from Human Feedback (RLHF). Evaluated model responses against instructions and contributed corrections to improve training signals. Ensured feedback aligned with guidelines to maintain usefulness for model fine-tuning workflows. • Delivered human feedback on AI-generated outputs. • Supported RLHF by evaluating response quality vs instructions. • Followed labeling guidelines and instruction adherence. • Maintained consistent feedback quality under project deadlines.

2023 - Present

Freelance Data Labeling Specialist (Text Classification)

TextClassification

Conducted text classification work for sentiment, intent, and topic categorization within AI training datasets. Followed project instructions to ensure labels matched required definitions and annotation schemas. Contributed to quality outcomes by maintaining audit-ready accuracy through continuous checking. • Classified text for sentiment, intent, and topic category. • Applied guideline adherence for consistent label assignment. • Maintained accuracy rates above 95% across projects. • Supported QA through correction of discrepancies when identified.

2023 - Present

Freelance Data Labeling Specialist (NER/Text Annotation)

Text

Performed text annotation for AI training, including Named Entity Recognition (NER) and structured tagging of key entities. Applied labeling guidelines to identify persons, organisations, dates, and locations accurately. Coordinated with QA workflows to review, correct, and improve annotation quality. • Completed NER tagging across multiple project types. • Identified and labeled persons, organisations, dates, and locations. • Reviewed and corrected peer annotations as part of QA. • Delivered consistent, guideline-compliant outputs under deadlines.

2023 - Present

Freelance Data Labeling Specialist (Audio Annotation)

AudioTranscription

Labeled audio data as part of AI training dataset preparation, completing review and correction to ensure label consistency. Applied instruction-following and guideline adherence to support usable training inputs for AI systems. Participated in quality assurance activities to maintain high output reliability. • Annotated audio clips for AI training datasets. • Completed audio transcription and review tasks (where required by projects). • Corrected errors during QA and peer-review cycles. • Maintained high accuracy and audit pass rates.

2023 - Present

Freelance Data Labeling Specialist (Image Annotation)

ImageBounding Box

Provided large-scale image annotation for AI training datasets, including precise bounding box and polygon-style labeling. Ensured annotations followed project guidelines and quality standards to support downstream model training. Achieved consistently high accuracy and passed quality audits across tasks. • Annotated thousands of images for AI training. • Applied bounding boxes, segmentation masks, and polygon annotations. • Reviewed and corrected peer annotations in QA workflows. • Maintained accuracy rates above 95% and met deadline expectations.

2023 - Present

Education

Work History