Ogunjide J.

Key Skills

Software

Don't disclose

Top Subject Matter

Multilingual localization QA and AI translation evaluation

Chatbot response validation and linguistic QA for AI training

Computer vision dataset labeling

Top Data Types

Text

Image

Document

Top Task Types

Question Answering

Classification

Entity (NER) Classification

Freelancer Overview

Localization QA Analyst, Grimbyte Technologies (AI translation post-editing and dataset labeling). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes AI Practitioner (Level 2), ALX Tech (2022) and Cloud Computing, ALX Tech (2022). AI-training focus includes data types such as Text and Image and labeling workflows including Translation, Localization, and Question Answering.

Labeling Experience

Localization QA Analyst - Grimbyte Technologies

ImageEntity (NER) Classification

Supported Amazon localization initiatives by adapting web pages and e-commerce content for culturally appropriate delivery in target languages. Reviewed and improved AI-generated translations to ensure accuracy, clarity, tone, and terminology consistency across multilingual materials. Used CAT tools, translation memory, and QA systems to identify errors, maintain formatting integrity, and improve output reliability. • LQA reviews and iterative quality improvement for multilingual content • Use of CAT tools, translation memory, and QA systems • Dataset structuring and labeling alignment for ML and multilingual workflows • Created annotation and evaluation guidelines to support consistent localization and training QA

2022 - 2024

Localization QA Analyst, Grimbyte Technologies (AI translation post-editing and dataset labeling)

Don't discloseText

Performed localization QA by reviewing and improving AI-generated translations for accuracy, clarity, tone, and terminology consistency. Worked with CAT tools and QA systems to identify translation and formatting issues during iterative evaluation cycles. Supported Amazon LELI localization projects by adapting web pages and e-commerce content for culturally appropriate target-language delivery. • Reviewed AI-generated multilingual translations and flagged errors • Verified formatting integrity and terminology consistency using QA workflows • Adapted localized web and e-commerce content for cultural appropriateness • Produced annotation/evaluation guidelines to standardize future labeling and QA

2022 - 2024

Quality Assurance Specialist (Chatbot and Dataset Support) - Oneforma

ImageEntity (NER) Classification

Contributed to chatbot quality workflows by reviewing prompts and validating generated responses against established quality guidelines. Maintained high annotation accuracy through consistent QA checks and strict adherence to project standards. Documented annotation workflows and linguistic guidelines to improve consistency across datasets. • Prompt review and quality validation for chatbot outputs • QA processes to ensure guideline compliance and accuracy targets • Documentation of linguistic and workflow guidelines for consistency • Support for labeled image datasets used for computer vision and AI training models

2021 - 2022

Data Annotator, Oneforma (image dataset labeling)

Don't discloseImageClassification

Labeled and categorized image datasets to support computer vision and AI training models. Applied consistent labeling standards to ensure reliable dataset quality for model training and evaluation. Coordinated labeling work as part of broader AI training support activities. • Assigned labels/categories to images for dataset construction • Followed project labeling standards for consistency • Contributed labeled data to computer vision training pipelines • Maintained dataset reliability through quality checks

2021 - 2022

Data Annotator, Oneforma (chatbot training data annotation)

Don't discloseTextQuestion Answering

Reviewed prompts and validated chatbot-generated responses against predefined quality guidelines during AI training support. Documented annotation workflows and linguistic guidelines to improve consistency across datasets and labeling cycles. Maintained high annotation accuracy through consistent QA review and adherence to project standards. • Checked prompt quality and response alignment to guidelines • Rated/validated generated responses for quality and correctness • Followed documented annotation and linguistic standards • Tracked consistency to achieve high accuracy across labeling tasks

2021 - 2022

Education

Work History