Ibrahim S.

Key Skills

Software

Other

Clickworker

Appen

Mercor

Micro1

Mindrift

OneForma

Toloka

Telus

Top Subject Matter

LLM response evaluation and RLHF training

Local language and technical dataset labeling

Digital product testing and quality evaluation

Top Data Types

Text

Image

Audio

Top Task Types

RLHF

Classification

Evaluation/Rating

Question Answering

Text Summarization

Freelancer Overview

AI Data Specialist & Content Annotator (Awari AI / Minddrift AI). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, University of Ibadan (2024). AI-training focus includes data types such as Text and labeling workflows including RLHF, Classification, and Evaluation.

Labeling Experience

Website and App tester (Testio - Test now)

OtherText

Tested websites and applications to assess behavior and content quality. Reviewed user-facing outputs and interactions to identify issues that affect usability or correctness. Reported findings to support improvements for released products. • Evaluated app and website experiences • Identified defects affecting functionality or content • Provided issue feedback for fixes • Followed testing instructions and documentation

2025 - Present

AI Data Specialist & Content Annotator (Awari AI / Minddrift AI)

OtherTextRLHF

Labeled and evaluated AI-generated responses for accuracy, safety, and natural language quality. Conducted RLHF tasks by ranking and reviewing model outputs to improve AI performance. Performed quality checks by identifying errors, inconsistencies, and bias in responses to support model iteration. • Ranked multiple AI responses according to guidelines • Reviewed content for safety and compliance • Detected factual, logical, and bias-related issues • Ensured high accuracy on large datasets under deadlines

2023 - Present

Data Annotation Assistant (DSN - Data Science Nigeria)

OtherTextClassification

Supported AI data labeling projects that included local language and technical datasets. Assisted with cleaning, organizing, and reviewing datasets for downstream machine learning use. Collaborated with other annotators to maintain consistent labeling standards and improve dataset quality. • Applied labeling instructions for local language data • Reviewed and validated labeled outputs • Cleaned and organized dataset files • Coordinated with peers to maintain consistency

2023 - 2024

Education

Work History