For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
O

Olusegun Somide

Freelance AI Trainer & Annotator

USA flagKnoxville, Usa
ExpertOther

Key Skills

Software

Other

Top Subject Matter

General knowledge
political science
social science

Top Data Types

TextText
DocumentDocument

Top Task Types

ClassificationClassification

Freelancer Overview

Freelance AI Trainer & Annotator. Brings 11+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Open Train AI and Other. Education includes Doctor of Philosophy, University of Tennessee (2022) and Master of Arts, University of Tennessee (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Expert

Labeling Experience

Freelance AI Trainer & Annotator

Text
As a Freelance AI Trainer & Annotator with Open Train AI, I handled a variety of AI task projects focused on text evaluation and prompt writing. I performed RLHF preference labeling, factual verification, and authored prompt-response pairs for LLM fine-tuning. Detailed guidelines were consistently followed to ensure high-quality data production. • Ranked and rated AI model outputs for accuracy, coherence, and helpfulness • Authored domain-specific and general-knowledge prompts and responses for LLM fine-tuning • Conducted factual verification and source attribution of AI-generated content • Maintained reliability through strict adherence to project annotation protocols

As a Freelance AI Trainer & Annotator with Open Train AI, I handled a variety of AI task projects focused on text evaluation and prompt writing. I performed RLHF preference labeling, factual verification, and authored prompt-response pairs for LLM fine-tuning. Detailed guidelines were consistently followed to ensure high-quality data production. • Ranked and rated AI model outputs for accuracy, coherence, and helpfulness • Authored domain-specific and general-knowledge prompts and responses for LLM fine-tuning • Conducted factual verification and source attribution of AI-generated content • Maintained reliability through strict adherence to project annotation protocols

2026 - Present

Freelance Data Consultant (Data Annotation/QA)

OtherTextClassification
As a Freelance Data Consultant, I constructed a multiyear fiscal and policy panel dataset involving variable coding and comprehensive codebook production. Annotation QA processes included auditing and correcting R data-cleaning scripts to ensure output validity. The work directly paralleled professional annotation standards in political and fiscal data domains. • Built a 50-state, 35-year panel dataset with detailed variable coding • Produced structured and well-documented coding guidelines • Reviewed annotation logic for consistency and accuracy • Engaged in large-scale annotation suitable for academic and practical applications

As a Freelance Data Consultant, I constructed a multiyear fiscal and policy panel dataset involving variable coding and comprehensive codebook production. Annotation QA processes included auditing and correcting R data-cleaning scripts to ensure output validity. The work directly paralleled professional annotation standards in political and fiscal data domains. • Built a 50-state, 35-year panel dataset with detailed variable coding • Produced structured and well-documented coding guidelines • Reviewed annotation logic for consistency and accuracy • Engaged in large-scale annotation suitable for academic and practical applications

2024 - Present

Large-Scale Data Coder & Annotator (PhD Research)

OtherTextClassification
PhD research at the University of Tennessee included extensively coding structured and unstructured data from multiple datasets. Annotation involved classifying behaviors and organizational types from text in accordance with detailed codebooks. Advanced QA/QC methodologies were maintained throughout multiyear panel data workflows. • Labeled 700+ rebel group-year text entries across five major international datasets • Applied multi-class categorization for political science phenomena • Developed detailed codebooks to standardize annotation criteria • Performed rigorous panel merging and cross-source validation for annotation integrity

PhD research at the University of Tennessee included extensively coding structured and unstructured data from multiple datasets. Annotation involved classifying behaviors and organizational types from text in accordance with detailed codebooks. Advanced QA/QC methodologies were maintained throughout multiyear panel data workflows. • Labeled 700+ rebel group-year text entries across five major international datasets • Applied multi-class categorization for political science phenomena • Developed detailed codebooks to standardize annotation criteria • Performed rigorous panel merging and cross-source validation for annotation integrity

2022 - Present

Education

U

University of Tennessee

Master of Arts, Political Science

Master of Arts
2022 - 2025
U

University of Ibadan

Bachelor of Science with Honours, Political Science

Bachelor of Science with Honours
2011 - 2015

Work History

U

University of Tennessee

Graduate Teaching Assistant

Knoxville
2022 - Present
B

Beulah Coaching Center

Tutor

Abeokuta
2017 - 2022