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Ifeotito Ogundana

Ifeotito Ogundana

AI Model Trainer (RLHF) – SapienAl

Nigeria flagAkure, Nigeria
$17.00/hrExpertMercorMindriftScale AI

Key Skills

Software

MercorMercor
MindriftMindrift
Scale AIScale AI
iMeritiMerit

Top Subject Matter

Web3 Domain Expertise
Llm Domain Expertise
Technical Documentation

Top Data Types

TextText
ImageImage
VideoVideo

Top Task Types

RLHFRLHF
ClassificationClassification
Data CollectionData Collection

Freelancer Overview

AI Model Trainer (RLHF) – SapienAl. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, University of Medical Sciences (2026) and High School Diploma, Saint Matthias Anglican High School (2021). AI-training focus includes data types such as Text and labeling workflows including RLHF, Classification, and Data Collection.

ExpertEnglishYoruba

Labeling Experience

Data Annotation Lead – SapienAl, Ethena, Recallnet

TextClassification
Directed data annotation and labeling activities targeting over 1,000 social sentiment data points for protocol vibe-check monitoring. Annotated and classified textual data to train specialized AI models focused on real-time sentiment analysis. Ensured annotation accuracy by establishing guidelines and conducting periodic audits. • Labeled sentiment-driven community interactions across various platforms. • Applied consistent taxonomies for emotional tone and engagement. • Executed quality assurance procedures for reliable training data. • Enabled the deployment of sentiment-aware monitoring tools.

Directed data annotation and labeling activities targeting over 1,000 social sentiment data points for protocol vibe-check monitoring. Annotated and classified textual data to train specialized AI models focused on real-time sentiment analysis. Ensured annotation accuracy by establishing guidelines and conducting periodic audits. • Labeled sentiment-driven community interactions across various platforms. • Applied consistent taxonomies for emotional tone and engagement. • Executed quality assurance procedures for reliable training data. • Enabled the deployment of sentiment-aware monitoring tools.

2023 - Present

AI Model Trainer (RLHF) – SapienAl

TextRLHF
Led Reinforcement Learning from Human Feedback (RLHF) initiatives for SapienAl, specializing in ranking large language model (LLM) responses to enhance technical documentation accuracy. Responsible for evaluating and rating LLM-generated text based on correctness and helpfulness. Collaborated with stakeholders to ensure model alignment with evolving Web3 documentation standards. • Ranked thousands of LLM outputs to improve model reliability. • Integrated feedback cycles to boost iteration speed. • Focused on technical and developer-centric content. • Supported benchmarking and A/B testing of model outputs.

Led Reinforcement Learning from Human Feedback (RLHF) initiatives for SapienAl, specializing in ranking large language model (LLM) responses to enhance technical documentation accuracy. Responsible for evaluating and rating LLM-generated text based on correctness and helpfulness. Collaborated with stakeholders to ensure model alignment with evolving Web3 documentation standards. • Ranked thousands of LLM outputs to improve model reliability. • Integrated feedback cycles to boost iteration speed. • Focused on technical and developer-centric content. • Supported benchmarking and A/B testing of model outputs.

2023 - Present

Community Data Curator – Freelance (Web3 Focus)

TextData Collection
Managed the collection and cleaning of community-generated textual data for use in domain-specific AI agent training. Designed pipelines to aggregate, filter, and preprocess large volumes of raw user input. Coordinated with technical teams to ensure data readiness for supervised and semi-supervised learning. • Curated datasets representing authentic community interactions. • Employed preprocessing techniques for noise reduction. • Maintained data integrity across multiple collection sources. • Facilitated seamless integration with downstream AI training workflows.

Managed the collection and cleaning of community-generated textual data for use in domain-specific AI agent training. Designed pipelines to aggregate, filter, and preprocess large volumes of raw user input. Coordinated with technical teams to ensure data readiness for supervised and semi-supervised learning. • Curated datasets representing authentic community interactions. • Employed preprocessing techniques for noise reduction. • Maintained data integrity across multiple collection sources. • Facilitated seamless integration with downstream AI training workflows.

2022 - Present

Education

U

University of Medical Sciences

Bachelor of Science, Computer Science

Bachelor of Science
2022 - 2026
S

Saint Matthias Anglican High School

High School Diploma, General Studies

High School Diploma
2015 - 2021

Work History

R

Recallnet

Web3 and AI Solutions Architect

Lagos
2023 - Present