Titilayo Umeh

Key Skills

Software

Scale AI

Appen

Top Subject Matter

General AI

Education Domain Expertise

Migration Domain Expertise

Top Data Types

Text

Image

Video

Top Task Types

Classification

Evaluation Rating

Prompt Response Writing SFT

Object Detection

Question Answering

Transcription

Freelancer Overview

Search & Content Evaluator. Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include UHRS (Microsoft), Appen, and Teemwork. Education includes Master of Science, Malmö University (2026) and Bachelor of Science, Olabisi Onabanjo University. AI-training focus includes data types such as Text and Document and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Data Annotator & Evaluator

TextClassification

Contributed to structured data annotation and AI model evaluation projects for Teemwork. Delivered high-quality, contextually nuanced annotations in domains such as education, migration, and gender. Consistently met deadlines and platform performance standards across multiple projects. • Applied subject domain expertise for sensitive content labeling • Annotated and evaluated structured datasets for AI training • Maintained quality standards and detailed annotation records • Worked remotely to support diverse annotation pipelines.

Contributed to structured data annotation and AI model evaluation projects for Teemwork. Delivered high-quality, contextually nuanced annotations in domains such as education, migration, and gender. Consistently met deadlines and platform performance standards across multiple projects. • Applied subject domain expertise for sensitive content labeling • Annotated and evaluated structured datasets for AI training • Maintained quality standards and detailed annotation records • Worked remotely to support diverse annotation pipelines.

2023 - Present

AI Data Annotator

AppenTextClassification

Completed text classification, sentiment labeling, named entity recognition (NER), and LLM output evaluation tasks using Appen. Performed prompt quality assessment, content safety labeling, and evaluation of instruction-response pairs. Maintained annotation logs and participated in adjudication rounds for guideline refinement. • Labeled data for AI model training in education, migration, and policy subject areas • Evaluated outputs for safety, accuracy, and coherence using multi-rubric guidelines • Improved prompt quality and rewrote ambiguous instructions • Collaborated in adjudication and edge-case resolution processes.

Completed text classification, sentiment labeling, named entity recognition (NER), and LLM output evaluation tasks using Appen. Performed prompt quality assessment, content safety labeling, and evaluation of instruction-response pairs. Maintained annotation logs and participated in adjudication rounds for guideline refinement. • Labeled data for AI model training in education, migration, and policy subject areas • Evaluated outputs for safety, accuracy, and coherence using multi-rubric guidelines • Improved prompt quality and rewrote ambiguous instructions • Collaborated in adjudication and edge-case resolution processes.

2023 - Present

Search & Content Evaluator

Text

Responsible for search relevance rating, ad evaluation, and content quality assessment tasks on UHRS (Microsoft). Rated search engine results and online advertisements using structured scoring guidelines. Maintained required accuracy rates and followed strict inter-annotator agreement thresholds. • Conducted large-scale content annotation tasks on UHRS platform • Applied decision trees and multi-rubric guidelines to ratings • Worked consistently in a remote environment, meeting deadlines • Contributed to quality benchmarks for ongoing projects.

Responsible for search relevance rating, ad evaluation, and content quality assessment tasks on UHRS (Microsoft). Rated search engine results and online advertisements using structured scoring guidelines. Maintained required accuracy rates and followed strict inter-annotator agreement thresholds. • Conducted large-scale content annotation tasks on UHRS platform • Applied decision trees and multi-rubric guidelines to ratings • Worked consistently in a remote environment, meeting deadlines • Contributed to quality benchmarks for ongoing projects.

2023 - Present

Research Analyst — AI & Migration

DocumentClassification

Executed systematic literature review and structured tagging of 80+ academic papers on AI-integrated border control and gendered vulnerability. Developed coding schema for data extraction, classification, and vulnerability indicator assessment. Produced structured policy briefs with clearly labeled data categories. • Evaluated multilingual academic sources for evidence quality • Designed annotation taxonomy for literature review data • Scored and classified critical reading outputs for audit trail • Ensured traceable, high-accuracy labeling throughout process.

Executed systematic literature review and structured tagging of 80+ academic papers on AI-integrated border control and gendered vulnerability. Developed coding schema for data extraction, classification, and vulnerability indicator assessment. Produced structured policy briefs with clearly labeled data categories. • Evaluated multilingual academic sources for evidence quality • Designed annotation taxonomy for literature review data • Scored and classified critical reading outputs for audit trail • Ensured traceable, high-accuracy labeling throughout process.

2022 - Present

Founder & Principal Consultant

DocumentClassification

Managed structured profiling and eligibility screening for 200+ institutional datasets. Designed categorical classification forms and binary decision-making tools for information quality workflows. Ensured data traceability and guideline adherence across multiple remote projects. • Developed and implemented structured annotation protocols • Oversaw quality assurance in large dataset processing • Conducted high-volume, systematic data categorization • Demonstrated leadership in information labeling environments.

Managed structured profiling and eligibility screening for 200+ institutional datasets. Designed categorical classification forms and binary decision-making tools for information quality workflows. Ensured data traceability and guideline adherence across multiple remote projects. • Developed and implemented structured annotation protocols • Oversaw quality assurance in large dataset processing • Conducted high-volume, systematic data categorization • Demonstrated leadership in information labeling environments.

2021 - Present

Education

Work History