Victor O.

Key Skills

Software

Other

Top Subject Matter

Citizen satisfaction survey analytics and qualitative text categorization

User research insights for training/evaluation use in UX and educational product

Legal Services & Contract Review

Top Data Types

Text

Document

Computer Code Programming

Top Task Types

Classification

Question Answering

Transcription

Data Collection

Segmentation

Text Generation

Prompt + Response Writing (SFT)

Object Detection

Freelancer Overview

Productivity Research Officer II — Designed/administered surveys and labeled/categorised qualitative survey data for AI-. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering, Federal University of Technology, Minna (2021) and N/A, Coursera. AI-training focus includes data types such as Text and labeling workflows including Classification and Question Answering.

Labeling Experience

Product Designer & Campaign Manager — User research and interview-derived structured insights for iterative AI/UX-oriented workflows (ongoing)

OtherTextQuestion Answering

Conducted user research including interviews and solution interviews to generate structured outputs suitable for training/evaluation of AI/UX insights. Synthesized interaction findings from prototype testing to inform iterative design decisions and content creation for a climate-education platform. Managed outreach data and reported campaign performance metrics that rely on structured qualitative/quantitative inputs. • Ran solution interviews to capture user needs and response patterns. • Synthesized findings from usability/beta testing to guide structured documentation. • Curated user-interaction and campaign performance data for reporting. • Supported content and outreach metrics tracking for data-driven iteration.

2023 - Present

Productivity Research Officer II — Designed/administered surveys and labeled/categorised qualitative survey data for AI-ready annotation workflows (ongoing)

OtherTextClassification

Labelled and categorised qualitative citizen satisfaction survey responses using consistent classification frameworks for subsequent analysis and AI-data readiness. Cleaned and coded datasets to extract actionable insights while ensuring label consistency across records. Transferred qualitative labeling approach directly to AI data annotation workflows and supported measurement-focused reporting for process improvement. • Organized qualitative survey responses into predefined label categories. • Applied consistent coding/classification rules across multi-airline satisfaction data. • Built structured datasets and pipelines to support downstream annotation and analytics. • Produced quantitative dashboards and reports that used the labeled/categorized inputs.

2023 - Present

Education

Work History