Osaro Osaibueku

Key Skills

Software

Mercor

iMerit

Top Subject Matter

General AI output evaluation and image analysis

AI-powered image annotation and quality review

Legal Services & Contract Review

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Freelancer Overview

AI Evaluator & Image Output Editor | Mercor (Remote). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Mercor and iMerit. Education includes Bachelor of Science, University of Benin (2024). AI-training focus includes data types such as Image and labeling workflows including Evaluation, Rating, and Bounding Box.

Labeling Experience

AI Evaluator & Image Output Editor | iMerit (Remote)

ImeritImageBounding Box

Executed image annotation and editing for AI training pipelines, applying bounding boxes and segmentation. Reviewed visual outputs to ensure quality compliance and consistency across data batches. Documented annotation decisions in accordance with project guidelines. • Used annotation tools to label and edit large-scale visual datasets • Employed bounding box and segmentation label types • Maintained accuracy in reviewing AI-generated images • Collaborated remotely to deliver data on tight deadlines

Executed image annotation and editing for AI training pipelines, applying bounding boxes and segmentation. Reviewed visual outputs to ensure quality compliance and consistency across data batches. Documented annotation decisions in accordance with project guidelines. • Used annotation tools to label and edit large-scale visual datasets • Employed bounding box and segmentation label types • Maintained accuracy in reviewing AI-generated images • Collaborated remotely to deliver data on tight deadlines

Present

AI Evaluator & Image Output Editor | Mercor (Remote)

MercorImage

Reviewed and rated AI-generated text and image outputs using structured scoring rubrics. Assessed content for accuracy, coherence, safety, and adherence to annotation guidelines. Provided detailed human feedback to refine AI model behaviour across multiple modalities. • Evaluated outputs in high-volume batches for quality assurance • Identified visual artefacts and inconsistencies in images • Performed prompt-response review for RLHF tasks • Ensured annotation reliability and consistency across sessions

Reviewed and rated AI-generated text and image outputs using structured scoring rubrics. Assessed content for accuracy, coherence, safety, and adherence to annotation guidelines. Provided detailed human feedback to refine AI model behaviour across multiple modalities. • Evaluated outputs in high-volume batches for quality assurance • Identified visual artefacts and inconsistencies in images • Performed prompt-response review for RLHF tasks • Ensured annotation reliability and consistency across sessions

Present

Education

Work History