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Gladness Akharaye

Gladness Akharaye

Business Analyst / LLM Trainer

NIGERIA flag
Lagos, Nigeria
$30.00/hrEntry LevelOtherInternal Proprietary Tooling

Key Skills

Software

Other
Internal/Proprietary Tooling

Top Subject Matter

AI/LLM Training
Technology
Financial Services

Top Data Types

TextText
VideoVideo
DocumentDocument

Top Task Types

Classification
Bounding Box
Evaluation Rating
RLHF
Question Answering

Freelancer Overview

As a Remote Business Analyst & LLM Trainer at Turing (USA), I annotated large-scale datasets (text, images, video) with 98% accuracy to train/refine AI models and LLMs. Using specialized tools for sentiment analysis, bounding boxes, and metadata extraction, I directly improved ML outputs while mastering training cycles and data quality standards. This expertise, combined with my business analysis background, positions me perfectly for high-quality AI data pipelines.

Entry LevelEnglish

Labeling Experience

Remote Business Analyst / LLM Trainer

TextEvaluation Rating
In this role, I annotated and labeled large-scale datasets, including text, images, and videos, to support AI and LLM (Large Language Model) training. My tasks included sentiment analysis, bounding box creation, and metadata extraction, helping to improve machine learning outputs. I used specialized labeling tools and maintained high accuracy throughout the annotation cycles. • Performed data labeling on multi-modal datasets for AI model refinement. • Executed sentiment analysis and bounding box annotations for diverse content types. • Maintained a 98% accuracy rate across all labeling and annotation tasks. • Developed and applied knowledge of AI model training and data quality requirements.

In this role, I annotated and labeled large-scale datasets, including text, images, and videos, to support AI and LLM (Large Language Model) training. My tasks included sentiment analysis, bounding box creation, and metadata extraction, helping to improve machine learning outputs. I used specialized labeling tools and maintained high accuracy throughout the annotation cycles. • Performed data labeling on multi-modal datasets for AI model refinement. • Executed sentiment analysis and bounding box annotations for diverse content types. • Maintained a 98% accuracy rate across all labeling and annotation tasks. • Developed and applied knowledge of AI model training and data quality requirements.

2024 - 2025

Remote Business Analyst / LLM Trainer

ImageBounding Box
In this role, I annotated and labeled large-scale datasets, including text, images, and videos, to support AI and LLM (Large Language Model) training. My tasks included sentiment analysis, bounding box creation, and metadata extraction, helping to improve machine learning outputs. I used specialized labeling tools and maintained high accuracy throughout the annotation cycles. • Performed data labeling on multi-modal datasets for AI model refinement. • Executed sentiment analysis and bounding box annotations for diverse content types. • Maintained a 98% accuracy rate across all labeling and annotation tasks. • Developed and applied knowledge of AI model training and data quality requirements.

In this role, I annotated and labeled large-scale datasets, including text, images, and videos, to support AI and LLM (Large Language Model) training. My tasks included sentiment analysis, bounding box creation, and metadata extraction, helping to improve machine learning outputs. I used specialized labeling tools and maintained high accuracy throughout the annotation cycles. • Performed data labeling on multi-modal datasets for AI model refinement. • Executed sentiment analysis and bounding box annotations for diverse content types. • Maintained a 98% accuracy rate across all labeling and annotation tasks. • Developed and applied knowledge of AI model training and data quality requirements.

2024 - 2025

Remote Business Analyst / LLM Trainer

VideoBounding Box
In this role, I annotated and labeled large-scale datasets, including text, images, and videos, to support AI and LLM (Large Language Model) training. My tasks included sentiment analysis, bounding box creation, and metadata extraction, helping to improve machine learning outputs. I used specialized labeling tools and maintained high accuracy throughout the annotation cycles. • Performed data labeling on multi-modal datasets for AI model refinement. • Executed sentiment analysis and bounding box annotations for diverse content types. • Maintained a 98% accuracy rate across all labeling and annotation tasks. • Developed and applied knowledge of AI model training and data quality requirements.

In this role, I annotated and labeled large-scale datasets, including text, images, and videos, to support AI and LLM (Large Language Model) training. My tasks included sentiment analysis, bounding box creation, and metadata extraction, helping to improve machine learning outputs. I used specialized labeling tools and maintained high accuracy throughout the annotation cycles. • Performed data labeling on multi-modal datasets for AI model refinement. • Executed sentiment analysis and bounding box annotations for diverse content types. • Maintained a 98% accuracy rate across all labeling and annotation tasks. • Developed and applied knowledge of AI model training and data quality requirements.

2024 - 2025

Remote Business Analyst / LLM Trainer

OtherTextClassification
In this role, I annotated and labeled large-scale datasets, including text, images, and videos, to support AI and LLM (Large Language Model) training. My tasks included sentiment analysis, bounding box creation, and metadata extraction, helping to improve machine learning outputs. I used specialized labeling tools and maintained high accuracy throughout the annotation cycles. • Performed data labeling on multi-modal datasets for AI model refinement. • Executed sentiment analysis and bounding box annotations for diverse content types. • Maintained a 98% accuracy rate across all labeling and annotation tasks. • Developed and applied knowledge of AI model training and data quality requirements.

In this role, I annotated and labeled large-scale datasets, including text, images, and videos, to support AI and LLM (Large Language Model) training. My tasks included sentiment analysis, bounding box creation, and metadata extraction, helping to improve machine learning outputs. I used specialized labeling tools and maintained high accuracy throughout the annotation cycles. • Performed data labeling on multi-modal datasets for AI model refinement. • Executed sentiment analysis and bounding box annotations for diverse content types. • Maintained a 98% accuracy rate across all labeling and annotation tasks. • Developed and applied knowledge of AI model training and data quality requirements.

2024 - 2025

Education

C

Crawford University

Bachelor of Science, Information and Communication Technology

Bachelor of Science
2008 - 2012

Work History

A

Access Arm Pensions

Senior Business Analyst

Lagos
2022 - Present
A

Arm Pension Managers

Benefits Analyst

Lagos
2016 - 2022