Ayomide Arowolo

Key Skills

Software

Label Studio

CVAT

Scale AI

Remotasks

Appen

Top Subject Matter

Autonomous Driving

Retail Domain Expertise

Surveillance Domain Expertise

Top Data Types

Image

Text

Audio

Document

Top Task Types

Bounding Box

Entity (NER) Classification

Transcription

Classification

Freelancer Overview

Data Labeling Specialist – Image Annotation. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio, CVAT, and Scale AI. Education includes Bachelor of Science, University of Ibadan (2022). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Entity (NER) Classification, and Transcription.

Labeling Experience

AI Evaluator – LLM and AI Output Evaluation

AppenText

I evaluated and rated AI-generated responses across multiple platforms, focusing on model accuracy, helpfulness, and alignment. My contributions included prompt writing and prompt testing to assess and improve model outputs for technical and general domains. Evaluations were conducted within defined rubrics and structured feedback was provided to further model development. • Rated model outputs for quality and alignment. • Wrote and tested prompts to identify weaknesses in AI models. • Provided technical feedback for engineering and cloud domains. • Supported RLHF and prompt-based evaluation workflows.

I evaluated and rated AI-generated responses across multiple platforms, focusing on model accuracy, helpfulness, and alignment. My contributions included prompt writing and prompt testing to assess and improve model outputs for technical and general domains. Evaluations were conducted within defined rubrics and structured feedback was provided to further model development. • Rated model outputs for quality and alignment. • Wrote and tested prompts to identify weaknesses in AI models. • Provided technical feedback for engineering and cloud domains. • Supported RLHF and prompt-based evaluation workflows.

2023 - Present

Data Labeling Specialist – Document & Multimodal Annotation

Label StudioDocumentClassification

I contributed to multimodal and document-focused labeling tasks combining image-text pairs, visual question answering datasets, and document OCR correction. This domain required broad annotation schemas and careful label consistency for technical and general knowledge datasets. Software such as Label Studio and Scale AI were used. • Labeled multimodal data involving documents and images. • Performed OCR correction and VQA dataset annotation. • Collaborated on schema development for new projects. • Ensured quality across edge cases in technical documents.

I contributed to multimodal and document-focused labeling tasks combining image-text pairs, visual question answering datasets, and document OCR correction. This domain required broad annotation schemas and careful label consistency for technical and general knowledge datasets. Software such as Label Studio and Scale AI were used. • Labeled multimodal data involving documents and images. • Performed OCR correction and VQA dataset annotation. • Collaborated on schema development for new projects. • Ensured quality across edge cases in technical documents.

2022 - Present

Data Labeling Specialist – Audio Annotation

RemotasksAudioTranscription

I labeled and transcribed audio data by producing time-aligned transcripts and speaker diarization labels for voice assistant training datasets. This included both transcription and annotation for model accuracy improvement. Tasks were completed using Remotasks and Appen platforms. • Performed audio transcription for voice assistant datasets. • Generated speaker diarization and time alignment labels. • Maintained accuracy scores in quality audits. • Applied subject-matter expertise for technical audio content.

I labeled and transcribed audio data by producing time-aligned transcripts and speaker diarization labels for voice assistant training datasets. This included both transcription and annotation for model accuracy improvement. Tasks were completed using Remotasks and Appen platforms. • Performed audio transcription for voice assistant datasets. • Generated speaker diarization and time alignment labels. • Maintained accuracy scores in quality audits. • Applied subject-matter expertise for technical audio content.

2022 - Present

Data Labeling Specialist – Text Annotation

AppenTextEntity Ner Classification

I performed comprehensive text annotation including NER tagging, text classification, sentiment labeling, and intent annotation. This work supported the training of conversational AI and search systems in large NLP datasets. Labeling tools such as Appen, Remotasks, and Scale AI were utilized for these tasks. • Labeled entities, intents, and classified text documents. • Supported schema design and ensured coverage across edge cases. • Contributed technical expertise to engineering-related NLP tasks. • Maintained high annotation quality across all projects.

I performed comprehensive text annotation including NER tagging, text classification, sentiment labeling, and intent annotation. This work supported the training of conversational AI and search systems in large NLP datasets. Labeling tools such as Appen, Remotasks, and Scale AI were utilized for these tasks. • Labeled entities, intents, and classified text documents. • Supported schema design and ensured coverage across edge cases. • Contributed technical expertise to engineering-related NLP tasks. • Maintained high annotation quality across all projects.

2022 - Present

Data Labeling Specialist – Image Annotation

Label StudioImageBounding Box

I completed thousands of data annotation tasks focused on image data, primarily using bounding box and other annotation types for various clients. My work included projects in autonomous driving, retail, and surveillance domains, ensuring high accuracy and consistent label quality. Tools such as Label Studio, CVAT, Scale AI, Remotasks, and Appen were used across diverse client workflows. • Delivered image annotation including bounding box, polygon, and keypoint labeling. • Designed and reviewed label schemas for computer vision tasks. • Contributed domain expertise for technical datasets in engineering. • Maintained high inter-annotator agreement and passed quality audits.

I completed thousands of data annotation tasks focused on image data, primarily using bounding box and other annotation types for various clients. My work included projects in autonomous driving, retail, and surveillance domains, ensuring high accuracy and consistent label quality. Tools such as Label Studio, CVAT, Scale AI, Remotasks, and Appen were used across diverse client workflows. • Delivered image annotation including bounding box, polygon, and keypoint labeling. • Designed and reviewed label schemas for computer vision tasks. • Contributed domain expertise for technical datasets in engineering. • Maintained high inter-annotator agreement and passed quality audits.

2022 - Present

Education

Work History