Oluwagbenga A.

Key Skills

Software

Other

Top Subject Matter

AI training data preparation and quality assurance (text).

AI training data preparation and quality assurance (video/action).

RLHF-style model evaluation and training data preparation (text).

Top Data Types

Text

Video

Document

Top Task Types

Fine-tuning

Action Recognition

RLHF

Classification

Freelancer Overview

Freelance Data Annotation & AI Training Contributor (Text Labeling). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Business Administration, University of the People (2024). AI-training focus includes data types such as Text, Video, and Document and labeling workflows including Fine-tuning, Action Recognition, and RLHF.

Labeling Experience

Freelance Data Annotation & AI Training Contributor

VideoClassificationRLHF

No description provided.

2024 - Present

Freelance Data Quality Contributor - Independent Contractor

VideoRLHF

Freelance work delivering dataset preparation and quality support for AI projects while following task-specific guidelines. Ensured labeled outputs met accuracy and integrity requirements through review and validation workflows. Worked remotely to manage multiple assignments and deliver on time while maintaining strong attention to detail. • Performed dataset validation and cleaning • Applied RLHF-style response rating to model outputs • Completed text and video labeling tasks under guidelines • Coordinated concurrent annotation deliverables and ensured deadline adherence.

2024 - Present

Data Evaluator and Content Analyst (Data Annotation & AI Training Data Preparation)

OtherText

Sourced, reviewed, and evaluated structured data samples to support AI training dataset quality. Applied guideline-based checks to ensure accuracy and relevance for downstream training. Removed misleading, outdated, and low-quality records to reduce erroneous inputs passed along. • Performed quality filtering on structured data samples. • Identified and removed misleading, outdated, and low-quality records. • Followed annotation guidelines across concurrent review tasks. • Organized and documented data batches for QA audit trails.

2024 - Present

Freelance Data Annotation & AI Training Contributor (RLHF Rating)

OtherTextRLHF

Carried out RLHF-style prompt and response rating by comparing and ranking AI model outputs using defined quality criteria. Helped support model fine-tuning and alignment through consistent evaluation of response quality. Maintained structured decision-making aligned with annotation guidelines. • Rated and ranked AI responses for quality and alignment. • Compared outputs against task-specific quality criteria. • Applied RLHF-style evaluation procedures consistently. • Prepared labeled examples for downstream training and tuning.

2024 - Present

Freelance Data Annotation & AI Training Contributor (Video/Action Labeling)

OtherVideoAction Recognition

Performed video/action labeling for AI training footage by applying timing thresholds and label-specificity standards. Ensured labeled segments met qualification conditions with limited attempts and high attention to detail. Completed data validation and cleaning steps to improve dataset consistency before submission. • Labeled and categorized action-related segments in training video footage. • Applied timing thresholds and label-specificity standards. • Identified duplicates, mislabeled records, and structural inconsistencies. • Managed multiple concurrent annotation tasks to meet weekly deadlines.

2024 - Present

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Education

Work History