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Ofili C.

Ofili C.

Detail-oriented and analytical AI Annotator Generalist with experience supporting data quality, content evaluation, and human-centred communication across healthcare, psychology, and public health environments. Skilled in reviewing, categorising, validating, and interpreting complex information while maintaining high standards of accuracy, consistency, confidentiality, and ethical awareness. Strong background in healthcare support, reproductive health education, and psychological wellbeing, bringing a nuanced understanding of human behaviour, sensitive content handling, and culturally competent communication. Particularly interested in AI safety, responsible AI development, healthcare applications of AI, and ethical data annotation practices. Able to work independently in fast-paced remote environments, follow detailed guidelines, meet productivity targets, and provide high-quality annotations across a broad range of domains including general knowledge, healthcare, behavioural science, and conversational AI.

United Kingdom flagLeicester, United Kingdom

Key Skills

Software

Scale AIScale AI
OneFormaOneForma

Top Subject Matter

Regulatory Compliance & Risk Analysis
Legal Research & Document Analysis

Top Data Types

TextText
ImageImage
VideoVideo

Top Task Types

Bounding BoxBounding Box
SegmentationSegmentation
ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification
Object DetectionObject Detection
Text GenerationText Generation
Question AnsweringQuestion Answering
Text SummarizationText Summarization
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

One year Experience working as an AI annotator with Outlier, covering a range of tasks and accruing up to 70 hours a week. Salesforce Administrator & Consultant in Contract Review, Compliance, and Legal Research. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Master of Science, De Montfort University (2023) and Bachelor of Science, University of Nigeria (2013).

Labeling Experience

AI Training

TextTextEvaluation/RatingEvaluation/Rating

Evaluated and rated the best quality data output and generated rating criteria.

2025 - 2026

AI Training

ImageImageQuestion AnsweringQuestion Answering

I worked on AI data annotation projects focused on question-answering tasks, where my role involved evaluating, analysing, and improving AI-generated responses for accuracy, relevance, clarity, and adherence to user instructions. I reviewed prompts and assessed whether responses correctly answered the question while maintaining logical consistency, factual correctness, and appropriate tone. The work required strong attention to detail, critical thinking, and the ability to follow detailed annotation guidelines to ensure high-quality training data for machine learning models.

2025 - 2026

AI Training

TextTextEntity (NER) ClassificationEntity (NER) Classification

I worked on an AI data annotation project focused on Named Entity Recognition (NER) and entity classification for natural language processing models. My responsibilities included reviewing and annotating large volumes of text data by identifying and labelling entities such as people, organisations, locations, dates, products, and medical terminology according to detailed annotation guidelines. I ensured high levels of accuracy, consistency, and quality control while working with structured annotation tools and meeting strict productivity targets.

2025 - 2026

Data labelling

ImageImageBounding BoxBounding Box

I worked on AI data annotation projects involving the use of bounding boxes to label and classify objects within images for machine learning training datasets. My responsibilities included accurately identifying objects, drawing precise bounding boxes around target items, and ensuring annotations followed detailed project guidelines and quality standards. I performed image segmentation, object detection, and categorisation tasks while maintaining high levels of accuracy, consistency, and attention to detail. The role required strong analytical skills, the ability to review and correct annotation errors, and efficient use of annotation tools and platforms to meet productivity targets and deadlines.

2025 - 2026

Education

D

De Montfort University

Master of Science, Psychological Wellbeing

Master of Science
2022 - 2023
U

University of Nigeria

Bachelor of Science, Biochemistry

Bachelor of Science
2009 - 2013

Work History

M

Manifest & Company

Salesforce Administrator & Consultant

Toronto
2022 - Present
D

DKT International

UI/UX Intern

N/A
2019 - 2022