Miracle Adedokun

Key Skills

Software

Scale AI

Appen

Label Studio

Remotasks

Top Subject Matter

LLMs/Conversational AI

NLP/Intent Classification

Computer Vision/Multimodal

Top Data Types

Text

Image

Audio

Document

Top Task Types

Entity (NER) Classification

Classification

Transcription

Freelancer Overview

AI Response Evaluator & Data Annotator. Core strengths include Scale AI, Appen, and Label Studio. Education includes Bachelor of Technology, Federal University of Technology, Akure (2023). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

Audio Transcriber & Validator

RemotasksAudioTranscription

I performed transcription and validation of audio datasets for speech recognition and NLP model training. My role involved ensuring high accuracy and consistency in audio transcriptions. I meticulously reviewed and corrected transcriptions to match audio content precisely. • Transcribed diverse audio files to support speech dataset creation. • Checked and validated labeling outputs against original audio samples. • Collaborated with team members to uphold strict quality standards. • Used labeling and transcription interfaces provided by platforms like Remotasks and Appen.

I performed transcription and validation of audio datasets for speech recognition and NLP model training. My role involved ensuring high accuracy and consistency in audio transcriptions. I meticulously reviewed and corrected transcriptions to match audio content precisely. • Transcribed diverse audio files to support speech dataset creation. • Checked and validated labeling outputs against original audio samples. • Collaborated with team members to uphold strict quality standards. • Used labeling and transcription interfaces provided by platforms like Remotasks and Appen.

2022 - Present

Image Annotator

Label StudioImageClassification

I conducted image labeling and annotation for multimodal AI training datasets. My responsibilities included assigning classes and verifying image content according to guidelines. I supported projects requiring both basic and complex image classification tasks. • Precisely labeled and categorized images for computer vision model training. • Maintained high quality annotations for data reliability and project success. • Collaborated with other annotators to resolve ambiguous image content cases. • Used annotation platforms like Label Studio and CVAT during assignments.

I conducted image labeling and annotation for multimodal AI training datasets. My responsibilities included assigning classes and verifying image content according to guidelines. I supported projects requiring both basic and complex image classification tasks. • Precisely labeled and categorized images for computer vision model training. • Maintained high quality annotations for data reliability and project success. • Collaborated with other annotators to resolve ambiguous image content cases. • Used annotation platforms like Label Studio and CVAT during assignments.

2022 - Present

Text Data Annotator

AppenTextEntity Ner Classification

I annotated and labeled large sets of text data to support machine learning model training. My work focused on entity recognition, query classification, and improving intent understanding in AI systems. I verified labeling outcomes for accuracy and relevance through review cycles. • Performed NER and text classification on diverse queries to refine AI comprehension. • Collaborated with cross-functional annotation teams to enhance label consistency. • Validated outputs in accordance with annotation guidelines and task requirements. • Leveraged platforms such as Appen, Remotasks, Lionbridge, and Atlas.

I annotated and labeled large sets of text data to support machine learning model training. My work focused on entity recognition, query classification, and improving intent understanding in AI systems. I verified labeling outcomes for accuracy and relevance through review cycles. • Performed NER and text classification on diverse queries to refine AI comprehension. • Collaborated with cross-functional annotation teams to enhance label consistency. • Validated outputs in accordance with annotation guidelines and task requirements. • Leveraged platforms such as Appen, Remotasks, Lionbridge, and Atlas.

2022 - Present

AI Response Evaluator & Data Annotator

Scale AIText

I evaluated and ranked outputs from large language models across multiple AI training projects. My tasks included scoring, comparing, and rating AI responses for correctness, helpfulness, and reasoning quality. I also performed prompt design and analysis to test and improve AI reasoning and factual accuracy. • Utilized RLHF-style frameworks to rank LLM outputs and detect hallucinations. • Conducted extensive fact-checking and quality assessment of technical and non-technical responses. • Ensured high accuracy and consistency during annotation across diverse assignments. • Used platforms like Scale AI, Remotasks, Appen, and Atlas to deliver structured evaluation feedback.

I evaluated and ranked outputs from large language models across multiple AI training projects. My tasks included scoring, comparing, and rating AI responses for correctness, helpfulness, and reasoning quality. I also performed prompt design and analysis to test and improve AI reasoning and factual accuracy. • Utilized RLHF-style frameworks to rank LLM outputs and detect hallucinations. • Conducted extensive fact-checking and quality assessment of technical and non-technical responses. • Ensured high accuracy and consistency during annotation across diverse assignments. • Used platforms like Scale AI, Remotasks, Appen, and Atlas to deliver structured evaluation feedback.

2022 - Present

Education

Work History