Adedamola A.

Key Skills

Software

Other

Clickworker

Data Annotation Tech

Micro1

Mercor

OneForma

Top Subject Matter

AI training dataset preparation (transcription QA, annotation verification)

Caption quality control and AI training dataset annotation

Legal Services & Contract Review

Top Data Types

Audio

Text

Video

Document

Top Task Types

Transcription

Question Answering

Text Summarization

Text Generation

Freelancer Overview

Transcriptionist / Data & Business Support Analyst (Remote) at Konch.ai. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Technology, Federal University of Technology, Akure (2017). AI-training focus includes data types such as Audio and Text and labeling workflows including Transcription, Evaluation, and Rating.

Labeling Experience

Transcriptionist / Data & Business Support Analyst (Remote) at Konch.ai

OtherAudioTranscription

Delivered transcription review and validation by checking accuracy, grammar, punctuation, formatting, and compliance with project guidelines. Performed quality assurance for transcription, annotation, and English correction tasks submitted by team members. Improved the reliability of transcription and annotated datasets used for machine learning and language model development. • Cross-checked transcripts line-by-line against source audio/video • Identified errors, omissions, speaker mismatches, and contextual inaccuracies • Verified annotation outputs and structured labeling documentation • Maintained quality trackers and productivity logs

2021 - Present

AI Data Annotation & Caption Quality Specialist (Remote) at Don'tPayFull

OtherText

Managed and maintained captioning, transcription, and annotation datasets with a focus on accuracy and guideline adherence. Reviewed and proofread outputs for grammar, punctuation, formatting consistency, and language correctness before final submission. Supported AI training workflows by refining and validating captioned and annotated datasets to improve machine learning and language model performance. • Performed QA to detect errors, omissions, contextual mismatches, and language inconsistencies • Conducted line-by-line content reviews for dataset quality • Verified structured content labeling and annotation precision • Monitored team performance and maintained review trackers for continuous improvement

2020 - Present

Education

Work History