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O

Okikioluwa Abass

Data Synthesis & Ground Truth Establishment Lead

Nigeria flagLagos, Nigeria
$28.00/hrIntermediateOtherLabelboxGoogle Cloud Vertex AI

Key Skills

Software

Other
LabelboxLabelbox
Google Cloud Vertex AIGoogle Cloud Vertex AI
Axiom AI
CloudFactoryCloudFactory

Top Subject Matter

User Surveys
Personas Domain Expertise
Complaint Datasets

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming
DocumentDocument

Top Task Types

Data CollectionData Collection
RLHFRLHF
Text GenerationText Generation
Red TeamingRed Teaming
Computer Programming/CodingComputer Programming/Coding
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

Data Synthesis & Ground Truth Establishment Lead. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, Caleb University Imota (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

IntermediateEnglish

Labeling Experience

Technical Product Delivery & Workflow Analyst – Data Annotation

Text
I evaluated qualitative user research and UX writing to translate unstructured feedback into structured, testable prototype parameters for engineering teams. My work included workflow analysis and establishing logic for administrative tracking and data management protocol improvements. This involved rigorous synthesis and annotation of user-generated text data for system enhancement. • Labeled and structured unstructured feedback into actionable engineering and testing parameters. • Conducted workflow and administrative data annotation for interface and portal optimization. • Applied internal/proprietary tools to facilitate annotation and data management logic structuring. • Supported cross-departmental prototype development through data-driven technical annotation.

I evaluated qualitative user research and UX writing to translate unstructured feedback into structured, testable prototype parameters for engineering teams. My work included workflow analysis and establishing logic for administrative tracking and data management protocol improvements. This involved rigorous synthesis and annotation of user-generated text data for system enhancement. • Labeled and structured unstructured feedback into actionable engineering and testing parameters. • Conducted workflow and administrative data annotation for interface and portal optimization. • Applied internal/proprietary tools to facilitate annotation and data management logic structuring. • Supported cross-departmental prototype development through data-driven technical annotation.

2024 - Present

Data Synthesis & Ground Truth Establishment Lead

Text
I led the evaluation and categorization of extensive user surveys, personas, and historical complaint datasets to establish baseline logic for platform redesigns. My responsibilities included synthesizing qualitative data and establishing ground truth standards for subsequent AI model logic. The goal was to convert highly unstructured user feedback into structured, high-fidelity outputs for platform improvement. • Performed data labeling by classifying, categorizing, and evaluating text-based survey and complaint datasets. • Ensured rigorous establishment of ground truth for supervised model training and validation. • Applied advanced qualitative data analysis to support platform redesign and feature benchmarking. • Leveraged internal/proprietary tooling for dataset organization and labeling consistency.

I led the evaluation and categorization of extensive user surveys, personas, and historical complaint datasets to establish baseline logic for platform redesigns. My responsibilities included synthesizing qualitative data and establishing ground truth standards for subsequent AI model logic. The goal was to convert highly unstructured user feedback into structured, high-fidelity outputs for platform improvement. • Performed data labeling by classifying, categorizing, and evaluating text-based survey and complaint datasets. • Ensured rigorous establishment of ground truth for supervised model training and validation. • Applied advanced qualitative data analysis to support platform redesign and feature benchmarking. • Leveraged internal/proprietary tooling for dataset organization and labeling consistency.

2025 - 2026

Data & Market Discovery Analyst – Data Collection & Annotation

TextData Collection
I executed targeted primary user research to map market needs and optimize digital accessibility pathways, collecting and structuring qualitative data for cross-functional team usage. Data organization and standardization enhanced system scalability and the efficacy of subsequent AI or analytics projects. My duties included human-driven data collection and logical structuring for prompt engineering pipelines. • Conducted qualitative data collection and annotation via direct user research. • Developed structured systems for team-based data input and processing efficiency. • Prepared labeled datasets for downstream AI analysis and prompt engineering. • Employed proprietary or internal research collection tools to support data annotation.

I executed targeted primary user research to map market needs and optimize digital accessibility pathways, collecting and structuring qualitative data for cross-functional team usage. Data organization and standardization enhanced system scalability and the efficacy of subsequent AI or analytics projects. My duties included human-driven data collection and logical structuring for prompt engineering pipelines. • Conducted qualitative data collection and annotation via direct user research. • Developed structured systems for team-based data input and processing efficiency. • Prepared labeled datasets for downstream AI analysis and prompt engineering. • Employed proprietary or internal research collection tools to support data annotation.

2025 - 2025

AI Prompt Engineer – RLHF for Model Evaluation

OtherTextRLHF
I contributed to AI research by supporting reinforcement learning from human feedback (RLHF) in advanced prompt engineering contexts for model evaluation. The work involved rating model outputs, fine-tuning prompts, and providing structured feedback to optimize AI agent workflow logic. This project enhanced the feedback loop between human evaluators and machine learning models for educational and healthcare platforms. • Participated in RLHF processes for AI-enabled platform development and logic improvement. • Labeled and analyzed prompt/response data to refine LLM-generated outputs and task workflows. • Utilized advanced LLMs (Claude, Gemini) and AI platforms (Cursor) as evaluation tools. • Supported experimental refinement and model retraining via structured qualitative feedback.

I contributed to AI research by supporting reinforcement learning from human feedback (RLHF) in advanced prompt engineering contexts for model evaluation. The work involved rating model outputs, fine-tuning prompts, and providing structured feedback to optimize AI agent workflow logic. This project enhanced the feedback loop between human evaluators and machine learning models for educational and healthcare platforms. • Participated in RLHF processes for AI-enabled platform development and logic improvement. • Labeled and analyzed prompt/response data to refine LLM-generated outputs and task workflows. • Utilized advanced LLMs (Claude, Gemini) and AI platforms (Cursor) as evaluation tools. • Supported experimental refinement and model retraining via structured qualitative feedback.

2021 - 2025

Education

C

Caleb University Imota

Bachelor of Science, Computer Science

Bachelor of Science
2021 - 2025

Work History

U

Upperlink Limited

Product Design Intern

Lagos
2024 - Present
S

Shanks Media And Software Company

Product Design Lead

Lagos
2025 - 2026