Emmanuel O.

Key Skills

Software

Appen

OneForma

Micro1

Mercor

Top Subject Matter

AI model training

Search relevance evaluation

AI data annotation

Top Data Types

Text

Document

Top Task Types

Data Collection

Evaluation/Rating

Question Answering

Freelancer Overview

AI Data Annotator. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen. Education includes High School Diploma, Great Michael Comprehensive College. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Project Teaport

Computer Code ProgrammingEvaluation/Rating

A formal outline detailing the purpose, scope, and objectives of improving, building, or managing trasnportation and infracstructure or services.

2025 - Present

Search Quality Rater (Needs Met/Rating Project)

AppenText

I assessed search result relevance and quality for the Needs Met (Search Quality Rating) project. I rated text outputs by reviewing their alignment with user queries. I contributed actionable feedback to fine-tune search engine models and improve result precision. • Conducted systematic evaluation of search outputs on Appen’s platform. • Applied rating guidelines to ensure consistent and unbiased scoring. • Delivered insights for product and engineering teams for model refinement. • Maintained confidentiality and adhered to project compliance standards.

2024 - Present

Data Collection and Annotation Contributor (Atlas Capture)

AppenTextData Collection

I performed structured data collection and annotation for AI model pipelines on the Atlas Capture initiative. I gathered textual information and labeled it as per client specifications for machine learning purposes. I worked remotely to support ongoing AI systems improvement projects. • Carried out data collection assignments following precise criteria. • Annotated collected text data to meet training requirements for AI models. • Documented tasks and updated project management trackers. • Communicated with supervisors and maintained project data integrity.

2024 - Present

AI Data Annotator

AppenText

I evaluated AI training datasets for quality and relevance on the Appen Teapot Project. I annotated datasets to enhance machine learning model accuracy according to established guidelines. I contributed to large-scale search quality initiatives for a major search engine through structured relevance rating tasks. • Conducted dataset evaluation and annotation as part of AI model training pipelines. • Rated search results for alignment with user intent using defined rubrics. • Utilized Appen platforms and proprietary tools for annotation assignments. • Ensured data quality through accuracy checks and consistent review.

2024 - Present

Education

Work History