Hammed R.

Key Skills

Software

Other

Top Subject Matter

Generative AI/LLM evaluation for response safety

Quality Domain Expertise

and factuality

Top Data Types

Text

Audio

Image

Document

Top Task Types

Transcription

Fine-tuning

Classification

Entity (NER) Classification

Evaluation/Rating

Freelancer Overview

AI Trainer / Data Annotation Specialist (LLM & GenAI evaluation). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Diploma in Biotechnology, Scholars International Institute of Technology (2020) and Bachelor of Technology, Federal University of Technology, Akure (2021). AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

Named Entity Recognition (NER)

ImageEntity (NER) Classification

Worked on a Named Entity Recognition (NER) project focused on identifying and labeling entities such as person names, organizations, locations, dates, products, and other contextual data within unstructured text. The project involved annotating datasets according to detailed guidelines to support NLP and machine learning model training. Responsibilities included maintaining high annotation accuracy, performing quality checks, resolving ambiguous cases, and ensuring consistency across large volumes of data for AI model improvement.

2025 - 2026

AI Trainer / Data Annotation Specialist (Multimodal annotation & alignment)

OtherImageFine-tuning

Contributed to multimodal dataset labeling to support fine-tuning of machine learning and generative AI models. Participated in taxonomy development and prompt evaluation to keep labeling consistent with project goals. Worked on text-to-image and alignment-related annotation activities to improve multimodal understanding. • Annotated multimodal data points (text, image, audio) • Supported GenAI taxonomy and prompt evaluation workflows • Assisted with 3D alignment and text-to-image alignment tasks • Conducted quality assurance reviews to ensure consistency

2023 - 2026

AI Trainer / Data Annotation Specialist (Transcription, timestamping, and audio sentiment)

OtherAudioTranscription

Transcribed and timestamped large volumes of audio and video content to produce structured speech and language datasets. Annotated audio-related attributes such as sentiment and performed linguistic data review to improve downstream model performance. Ensured high accuracy through validation and guideline compliance checks. • Audio and video transcription with timestamping • Speech data annotation for structured usability • Sentiment annotation and linguistic data review • Validated transcriptions and maintained QA compliance

2023 - 2026

AI Trainer / Data Annotation Specialist (LLM & GenAI evaluation)

OtherText

Trained and evaluated generative AI and LLM outputs by rating responses for quality, safety, factual accuracy, and policy compliance. Supported model alignment and reliability by reviewing large volumes of AI-generated responses and providing human feedback. Performed relevance and accuracy checks to ensure responses met project requirements. • Evaluated and rated thousands of AI-generated responses • Checked safety and policy compliance for model outputs • Assessed relevance and factual accuracy against guidelines • Fed back findings to improve model behavior and alignment

2023 - 2026

Education

Work History