Olamilekan Abigael

Key Skills

Software

Scale AI

Remotasks

Appen

Lionbridge

Label Studio

Axiom AI

Clickworker

Argilla

Anno-Mage

AWS SageMaker

Top Subject Matter

Natural Language Processing

Computer Vision

Speech Recognition

Top Data Types

Text

Image

Audio

Video

Document

Top Task Types

Entity (NER) Classification

Bounding Box

Transcription

Classification

Action Recognition

Audio Recording

Polygon

Point/Key Point

Polyline

Cuboid

Text Generation

Question Answering

Fine-tuning

Text Summarization

Object Detection

Segmentation

Red Teaming

Computer Programming/Coding

Prompt + Response Writing (SFT)

Data Collection

RLHF

Function Calling

Evaluation/Rating

Freelancer Overview

AI Data Annotator & Labeling Specialist (Text Annotation and RLHF). Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Scale AI, Remotasks, and Appen. AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER) Classification, Bounding Box, and Transcription.

Labeling Experience

AI Data Annotator & Labeling Specialist (Audio Annotation)

Scale AIAudioTranscription

I provided detailed transcription and annotation of audio files with speaker diarization, timestamps, and phonetic tagging for speech recognition model development. My contributions enhanced the quality of labeled audio datasets within tight deadlines. Strict adherence to annotation guidelines was fundamental to my consistent performance. • Transcribed and annotated speech data for recognition tasks • Ensured precise diarization and phonetic labeling • Delivered data for speech AI training workflows • Maintained reliability under QA scrutiny

I provided detailed transcription and annotation of audio files with speaker diarization, timestamps, and phonetic tagging for speech recognition model development. My contributions enhanced the quality of labeled audio datasets within tight deadlines. Strict adherence to annotation guidelines was fundamental to my consistent performance. • Transcribed and annotated speech data for recognition tasks • Ensured precise diarization and phonetic labeling • Delivered data for speech AI training workflows • Maintained reliability under QA scrutiny

2023 - Present

AI Data Annotator & Labeling Specialist (Image Annotation)

RemotasksImageBounding Box

I carried out image dataset labeling using bounding boxes, polygons, and keypoint annotations for computer vision models. My work included object detection and segmentation tasks designed for AI training pipelines. High annotation accuracy rates were maintained, ensuring consistent QA compliance. • Labeled images for object detection and segmentation • Utilized bounding box, polygon, and keypoint techniques • Exceeded required QA and quality metrics • Followed detailed ontologies and labeling schemas

I carried out image dataset labeling using bounding boxes, polygons, and keypoint annotations for computer vision models. My work included object detection and segmentation tasks designed for AI training pipelines. High annotation accuracy rates were maintained, ensuring consistent QA compliance. • Labeled images for object detection and segmentation • Utilized bounding box, polygon, and keypoint techniques • Exceeded required QA and quality metrics • Followed detailed ontologies and labeling schemas

2023 - Present

AI Data Annotator & Labeling Specialist (Text Annotation and RLHF)

Scale AITextEntity Ner Classification

I focused on high-volume text annotation tasks, performing sentiment classification, intent detection, and named entity recognition to train large language models. My responsibilities also included RLHF activities such as rating, ranking, and rewriting AI-generated responses to improve model accuracy and safety. Consistent quality was maintained above 95% accuracy across all assigned projects. • Annotated textual data for sentiment, intent, and NER tasks • Performed RLHF to refine AI model outputs • Passed regular QA audits and met guideline standards • Used diverse annotation schemas and adapted to new requirements

I focused on high-volume text annotation tasks, performing sentiment classification, intent detection, and named entity recognition to train large language models. My responsibilities also included RLHF activities such as rating, ranking, and rewriting AI-generated responses to improve model accuracy and safety. Consistent quality was maintained above 95% accuracy across all assigned projects. • Annotated textual data for sentiment, intent, and NER tasks • Performed RLHF to refine AI model outputs • Passed regular QA audits and met guideline standards • Used diverse annotation schemas and adapted to new requirements

2023 - Present

Data Labeling Contributor — NLP & Multimodal (Audio Data Collection)

AppenAudioAudio Recording

I participated in audio data collection, involving recording, transcribing, and validating speech samples across different accents and dialects. My duties included preparing annotated data sets for speech technology projects. Quality contributions were recognized by the project team for consistency and reliability. • Recorded and transcribed diverse speech audio samples • Validated data for accent and dialect variety • Aligned annotations with speech AI requirements • Facilitated successful audio data deliveries

I participated in audio data collection, involving recording, transcribing, and validating speech samples across different accents and dialects. My duties included preparing annotated data sets for speech technology projects. Quality contributions were recognized by the project team for consistency and reliability. • Recorded and transcribed diverse speech audio samples • Validated data for accent and dialect variety • Aligned annotations with speech AI requirements • Facilitated successful audio data deliveries

2022 - 2023

Data Labeling Contributor — NLP & Multimodal (Video Annotation)

LionbridgeVideoAction Recognition

I performed video frame tagging with object labels, action/activity recognition, and scene classification for AI pipelines. Responsibilities included producing labeled video data for model training and maintaining stringent accuracy standards. My results consistently met project objectives and annotation benchmarks. • Tagged video segments for action and scene recognition • Labeled object occurrences across frame sequences • Exported comprehensive labels for training purposes • Adhered to guidelines in fast-paced labeling tasks

I performed video frame tagging with object labels, action/activity recognition, and scene classification for AI pipelines. Responsibilities included producing labeled video data for model training and maintaining stringent accuracy standards. My results consistently met project objectives and annotation benchmarks. • Tagged video segments for action and scene recognition • Labeled object occurrences across frame sequences • Exported comprehensive labels for training purposes • Adhered to guidelines in fast-paced labeling tasks

2022 - 2023

Show more

Education

Work History