Obiya H.

Key Skills

Software

Appen

Scale AI

Remotasks

Label Studio

CVAT

Other

Top Subject Matter

Nlp Domain Expertise

search relevance

LLM prompt evaluation

Top Data Types

Text

Image

Audio

Document

Top Task Types

Entity (NER) Classification

Segmentation

Transcription

Freelancer Overview

AI Training Data Contributor — Crowdsourcing Platforms. Core strengths include Appen, Scale AI, and Remotasks. Education includes Secondary School Certificate, N/A. AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER) Classification, Segmentation, and Transcription.

Labeling Experience

Data Annotation Specialist — Speech Labeling (Freelance/Remote)

OtherAudioTranscription

Transcribed audio recordings and produced speech-labeled data to support natural language processing (NLP) model development. Labeled speech content for downstream tasks and ensured annotations met required quality standards. Maintained consistency with daily quotas and strong inter-annotator agreement. • Audio transcription for NLP training • Speech data labeling • Quality assurance and consistency checks • Quota fulfillment with high inter-annotator agreement

2023 - Present

Data Annotation Specialist — Freelance / Remote

Label StudioImageSegmentation

Annotated large volumes of image, text, and audio datasets for AI/ML model training in a remote freelance capacity. Completed computer vision labeling including bounding boxes and polygon/semantic segmentation to support model learning. Performed QA review and moderation to ensure data quality and compliance with platform guidelines. • Bounding box, polygon, and semantic segmentation labeling • Text sentiment/intent/NER annotation • Audio transcription and speech labeling for NLP models • Content review and moderation for quality and policy compliance

2023 - Present

AI Training Data Contributor — Crowdsourcing Platforms

AppenTextEntity (NER) Classification

Labeled text data for NLP research and model training across crowdsourcing platforms, supporting tasks such as sentiment analysis, intent classification, and named entity recognition (NER). Performed instruction-following related work by writing and evaluating prompts to improve large language model behavior. Conducted ongoing quality checks to meet project accuracy and policy requirements. • Sentiment analysis, intent classification, and NER tagging • Prompt writing and evaluation for instruction following • Evaluation of responses for relevance and policy compliance (RLHF-related) • Search relevance and web page quality evaluation

2022 - 2023

Education

Work History