Sherifdeen O.

Key Skills

Software

Other

CVAT

Top Subject Matter

Machine learning dataset preparation (image annotation, classification, bounding boxes)

LLM response evaluation and prompt/response dataset preparation

Legal Services & Contract Review

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Prompt + Response Writing (SFT)

Freelancer Overview

AI Generalist / Data Annotator (Image labeling, guideline-based QA). Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Outlier Annotation Platform. Education includes Bachelor of Science, Obafemi Awolowo University, Ile-Ife (2014). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and Prompt + Response Writing (SFT).

Labeling Experience

AI Generalist (LLM response evaluation and dataset training support)

TextPrompt + Response Writing (SFT)

Contributed to AI training by evaluating and refining LLM-related prompt and response content as part of dataset preparation. Conducted response evaluation, ranking/comparison, and guideline-based quality checks to improve dataset reliability. Performed careful attention to detail and edge-case handling to ensure high-quality training examples. • Evaluated prompts and responses for quality using established rubrics • Ranked and compared outputs to identify best candidate responses • Performed edge-case analysis to handle ambiguous or tricky examples • Ensured compliance with strict guidelines during annotation/evaluation

2019 - 2024

AI Generalist / Data Annotator (Image labeling, guideline-based QA)

OtherImageBounding Box

Performed image data labeling and annotation to support machine learning training workflows involving classification and spatial labeling. Applied strict guideline adherence, conducted edge-case analysis, and performed quality assurance checks to maintain high labeling accuracy. Evaluated labeled outputs for consistency and compliance with dataset requirements during AI generalist training tasks. • Labeled image data using classification and bounding box style annotations • Conducted outlier detection and comparison/ranking of labeling decisions • Reviewed outputs to ensure guideline compliance and QA scoring • Supported annotation workflows for training complex datasets

2019 - 2024

Education

Work History