Omojowo Samuel

Key Skills

Software

Labelbox

Appen

Scale AI

Top Subject Matter

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Top Data Types

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Top Label Types

Evaluation Rating

Classification

Freelancer Overview

I am a detail-oriented AI data annotator and image-based Q&A reviewer with strong expertise in evaluating, correcting, and validating labeled datasets used for training large language models. My experience includes image annotation, text extraction, answer verification, and quality assurance, where I ensure accuracy, clarity, and consistency across annotated items. I am highly skilled in reviewing image-based content, extracting exact text, correcting labels, and producing clear, standalone answers in line with strict annotation guidelines. I bring advanced written English proficiency, strong grammar and punctuation skills, and the ability to maintain precision while working efficiently. I am experienced in identifying inconsistencies, applying correct labels, and providing concise explanations when items cannot be answered. I am comfortable working independently, meeting productivity targets, and using annotation and review tools to support AI model training and evaluation. I am committed to delivering high-quality, reliable data and contributing to the development of accurate, ethical, and high-performing AI systems.

Labeling Experience

Data Annotation Specialist | Prompt Engineer & LLM Evaluator

LabelboxTextEvaluation Rating

As a Data Annotation Specialist and LLM Evaluator, I annotated and reviewed over 5,000 multilingual data samples for NLP and generative AI tasks. My responsibilities included performing preference ranking, similarity scoring, and contributing to RLHF pipelines. I collaborated with engineers to ensure annotation consistency and followed structured QA rubrics meticulously. • Delivered high-quality labeled datasets for language model training and evaluation. • Performed structured evaluations of LLM outputs in multiple languages. • Implemented RLHF-based feedback loops for continuous model refinement. • Ensured adherence to complex annotation guidelines and QA standards.

As a Data Annotation Specialist and LLM Evaluator, I annotated and reviewed over 5,000 multilingual data samples for NLP and generative AI tasks. My responsibilities included performing preference ranking, similarity scoring, and contributing to RLHF pipelines. I collaborated with engineers to ensure annotation consistency and followed structured QA rubrics meticulously. • Delivered high-quality labeled datasets for language model training and evaluation. • Performed structured evaluations of LLM outputs in multiple languages. • Implemented RLHF-based feedback loops for continuous model refinement. • Ensured adherence to complex annotation guidelines and QA standards.

2024 - 2025

AI Evaluation Analyst & Translator

Scale AITextEvaluation Rating

In the role of AI Evaluation Analyst & Translator, I conducted linguistic QA on AI outputs and validated their fluency, coherence, and cultural appropriateness. I assessed AI-generated content to ensure alignment with quality standards and supported data augmentation tasks for greater linguistic coverage. This role focused on evaluating and enhancing multilingual AI datasets for improved model outcomes. • Executed systematic AI output validation and linguistic quality checks. • Evaluated model fluency, coherence, and contextual accuracy in multiple languages. • Assisted in data augmentation to diversify training datasets. • Provided feedback to improve output alignment to cultural norms and quality standards.

In the role of AI Evaluation Analyst & Translator, I conducted linguistic QA on AI outputs and validated their fluency, coherence, and cultural appropriateness. I assessed AI-generated content to ensure alignment with quality standards and supported data augmentation tasks for greater linguistic coverage. This role focused on evaluating and enhancing multilingual AI datasets for improved model outcomes. • Executed systematic AI output validation and linguistic quality checks. • Evaluated model fluency, coherence, and contextual accuracy in multiple languages. • Assisted in data augmentation to diversify training datasets. • Provided feedback to improve output alignment to cultural norms and quality standards.

2022 - 2023

Multilingual Content Annotator (Remote)

AppenTextClassification

As a Multilingual Content Annotator, I labeled a diverse range of data including search results, social media content, and video metadata for global projects. My work involved content moderation, spam detection, and handling transcription and summarization tasks. I ensured high data quality and cultural relevance across English, French, and German content. • Annotated and classified social, search, and multimedia content. • Conducted content moderation and flagged policy violations. • Performed transcription and text summarization for audio and video data. • Supported multilingual AI training projects to improve model accuracy.

As a Multilingual Content Annotator, I labeled a diverse range of data including search results, social media content, and video metadata for global projects. My work involved content moderation, spam detection, and handling transcription and summarization tasks. I ensured high data quality and cultural relevance across English, French, and German content. • Annotated and classified social, search, and multimedia content. • Conducted content moderation and flagged policy violations. • Performed transcription and text summarization for audio and video data. • Supported multilingual AI training projects to improve model accuracy.

2022 - 2023

Education

Work History