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Olukayode Zacchaous

Olukayode Zacchaous

AI Data Annotation & Multimodal Evaluation Specialist

Nigeria flagLagos, Nigeria
$15.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

AI Data Annotation and Evaluation
LLM and Text-Based AI Validation
Mechanical Engineering

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Evaluation/RatingEvaluation/Rating
TranscriptionTranscription
Function CallingFunction Calling
RLHFRLHF
Text SummarizationText Summarization
Question AnsweringQuestion Answering
Object DetectionObject Detection
ClassificationClassification
Text GenerationText Generation
Red TeamingRed Teaming
Bounding BoxBounding Box
PolygonPolygon
SegmentationSegmentation
Entity (NER) ClassificationEntity (NER) Classification
Point/Key PointPoint/Key Point
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Data CollectionData Collection

Freelancer Overview

AI Data Annotation & Multimodal Evaluation Specialist. Core strengths include Internal and Proprietary Tooling. Education includes Higher National Diploma, Lagos State Polytechnic (2022). AI-training focus includes data types such as Image and Text and labeling workflows including Evaluation and Rating.

IntermediateEnglishYoruba

Labeling Experience

AI Task Review & Research Support

Text
The role involved validation, refinement, and structured research to support evaluation of AI-generated text outputs. Responsibilities included cross-checking AI responses using multiple sources and documenting methodologies for reproducibility. Technical tools and AI platforms were leveraged to ensure consistency and accuracy in research support. • Validated output from various AI models, flagging inaccuracies and inconsistencies. • Developed reproducible workflows for LLM evaluation and annotation. • Utilized platforms such as ChatGPT, DeepSeek, and others for tool-assisted annotation and review. • Provided structured documentation and technical support for AI research and task review.

The role involved validation, refinement, and structured research to support evaluation of AI-generated text outputs. Responsibilities included cross-checking AI responses using multiple sources and documenting methodologies for reproducibility. Technical tools and AI platforms were leveraged to ensure consistency and accuracy in research support. • Validated output from various AI models, flagging inaccuracies and inconsistencies. • Developed reproducible workflows for LLM evaluation and annotation. • Utilized platforms such as ChatGPT, DeepSeek, and others for tool-assisted annotation and review. • Provided structured documentation and technical support for AI research and task review.

2022 - Present

AI Data Annotation & Multimodal Evaluation Specialist

Image
The specialist conducted multimodal evaluations, focusing on image prompt alignment and visual quality for generative AI systems. Responsibilities included performing visual grounding, structured scene annotation, and rubric-based ranking of large language model (LLM) outputs. Quality assurance and failure pattern analysis were central to daily operations, maintaining 95%+ inter-rater consistency. • Assessed visual fidelity and artifact detection for images and cross-validated against source prompts. • Executed pixel-level object localization and structured scene descriptions in image datasets. • Ranked LLM responses on factuality, instruction following, and helpfulness using custom rubrics. • Processed and reported results for 40–60 evaluation/training traces per day across domains.

The specialist conducted multimodal evaluations, focusing on image prompt alignment and visual quality for generative AI systems. Responsibilities included performing visual grounding, structured scene annotation, and rubric-based ranking of large language model (LLM) outputs. Quality assurance and failure pattern analysis were central to daily operations, maintaining 95%+ inter-rater consistency. • Assessed visual fidelity and artifact detection for images and cross-validated against source prompts. • Executed pixel-level object localization and structured scene descriptions in image datasets. • Ranked LLM responses on factuality, instruction following, and helpfulness using custom rubrics. • Processed and reported results for 40–60 evaluation/training traces per day across domains.

2022 - Present

Education

L

Lagos State Polytechnic

Higher National Diploma, Mechanical Engineering

Higher National Diploma
2016 - 2022

Work History

S

Self-Employed/Personal Projects

Practical Automotive Experience

Lagos
2016 - Present
R

Ruth'Rford Service Limited

Junior Supervisor (NYSC)

Shagamu
2024 - 2025