Selorm A.

Key Skills

Software

Other

Top Subject Matter

Natural language generation (NLG) and high-volume image dataset training

Clinical/healthcare analytics and KPI data preparation for BI outputs

Legal Services & Contract Review

Top Data Types

Image

Text

Document

Top Task Types

Text Generation

Data Collection

Freelancer Overview

AI Model Training Specialist at Outlier (AI training/annotation tooling and labeled dataset preparation). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Science, University of Lincoln and Bachelor of Arts, University of Ghana. AI-training focus includes data types such as Image, Computer Code, and Programming and labeling workflows including Text Generation and Data Collection.

Labeling Experience

AI Model Training Specialist at Outlier (AI training/annotation tooling and labeled dataset preparation)

OtherImageText Generation

Trained and improved AI model datasets by leveraging structured data extraction and labeling workflows using Python and Pandas, contributing to higher NLG accuracy. Collaborated with developers and stakeholders to redesign annotation tools and automate repetitive tagging to increase labeling throughput. Performed data quality audits and statistical validation to ensure labeled datasets were balanced and reduced downstream bias in model outputs. • Extracted and prepared structured training data for model learning • Automated repetitive tagging and reduced manual processing time • Conducted automated data quality audits on labeled datasets • Validated training distribution assumptions using statistical tests

2024 - Present

Data Analyst at Ministry of Energy (analytics data preparation with API extraction and validation for reporting/insight systems)

OtherData Collection

Built and delivered clinical and operational dashboards backed by curated datasets, including data extraction via APIs and transformation using Python. Conducted root-cause analysis using SQL and Python to validate KPI data quality and support data-driven decisions. Participated in end-to-end clinical data platform delivery by defining KPIs, designing database schemas, and preparing data for reporting systems. • Extracted patient feedback data via APIs and transformed it with Python • Supported real-time and dashboard-ready data pipelines in Power BI • Performed data validation and operational KPI analysis • Defined KPIs and supported data modeling for downstream reporting

2020 - 2021

Education

Work History