Suleiman Z.

Key Skills

Software

Labelbox

Other

Top Subject Matter

AI/ML model training datasets

RLHF/reward modeling evaluation

prompt-response assessment

Top Data Types

Text

Image

Top Task Types

RLHF

Freelancer Overview

Freelance AI Data Annotator & Content Reviewer (Remote — Various Platforms). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox and Other. Education includes Bachelor of Arts, University of Abuja (2016) and Secondary School Leaving Examination, WAEC / SSCE (2011). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

Freelance AI Data Annotator & Content Reviewer (Remote — Various Platforms)

LabelboxText

Freelance AI Data Annotator and Content Reviewer creating and reviewing labeled datasets to support machine learning model training. She evaluates and ranks AI-generated responses for quality, helpfulness, accuracy, and safety using structured rubrics while maintaining consistency with project guidelines. She also writes and reviews prompts to test model capabilities across domains including general knowledge, coding, and creative writing. • Labeled large volumes of text for training and quality assurance. • Conducted response evaluation and quality scoring (95%+ maintained). • Performed conversation ranking and instruction-following analysis as part of AI training. • Collaborated with global teams asynchronously using Slack and Notion.

2019 - Present

AI/ML Support Content & Communications Officer (BrightMinds Education Initiative)

OtherTextRLHF

As an AI/ML Support Content & Communications Officer, she supported AI training activities by contributing to reinforcement learning with human feedback style workflows. Her responsibilities focused on assisting with response ranking and prompt engineering related evaluation tasks while supporting broader NGO communications initiatives. The role included producing written materials and compiling supporting research content that could be used to inform training datasets and model assessment. • Supported RLHF-style response ranking and evaluation activities. • Assisted prompt engineering and structured response assessment. • Drafted and reviewed prompts and supporting written content for model capability testing. • Managed research outputs that informed training and evaluation contexts.

2017 - 2018

Education

Work History