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Iyamu Ikponmwosa

Iyamu Ikponmwosa

Data Annotation & Labeling

Nigeria flagLagos, Nigeria
$50.00/hrIntermediateImeritRemotasksOther

Key Skills

Software

iMeritiMerit
RemotasksRemotasks
Other
RoboflowRoboflow
OneFormaOneForma
Micro1

Top Subject Matter

Financial trading data
trading signals
and performance metrics

Top Data Types

TextText
AudioAudio
VideoVideo

Top Task Types

ClassificationClassification
TranscriptionTranscription
Data CollectionData Collection
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Question AnsweringQuestion Answering
Object DetectionObject Detection
Text SummarizationText Summarization
Text GenerationText Generation
Bounding BoxBounding Box
Fine-tuningFine-tuning

Freelancer Overview

Copy Trading Website Data Annotation & Labeling. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Microsoft Excel and Google Sheets. Education includes Bachelor of Science, University of Benin (2022). AI-training focus includes data types such as Text and labeling workflows including Classification.

IntermediateEnglish

Labeling Experience

Copy Trading Website Data Annotation & Labeling (Self-Employed)

TextClassification
Managed, labeled, and structured large sets of trading-related data for consistency and model training. Ensured accuracy and clarity of data using predefined criteria and quality standards. Validated, annotated, and organized historical and real-time information as part of AI-driven workflows. • Reviewed trading signals and performance data to meet labeling guidelines. • Maintained dataset quality for downstream AI tasks and analytics. • Monitored outputs to ensure precise and reliable labeling. • Utilized spreadsheet tools for manual annotation and validation.

Managed, labeled, and structured large sets of trading-related data for consistency and model training. Ensured accuracy and clarity of data using predefined criteria and quality standards. Validated, annotated, and organized historical and real-time information as part of AI-driven workflows. • Reviewed trading signals and performance data to meet labeling guidelines. • Maintained dataset quality for downstream AI tasks and analytics. • Monitored outputs to ensure precise and reliable labeling. • Utilized spreadsheet tools for manual annotation and validation.

2024 - Present

Independent Financial Data Annotation & Pattern Labeling

TextClassification
Analyzed, annotated, and labeled substantial financial market data with rule-based methods for pattern recognition. Implemented annotation workflows similar to those used in AI training, focused on accuracy and consistency. Maintained logs of decisions and refined data sets for improved model input quality. • Identified recurring patterns through systematic annotation. • Labeled and categorized time-series and market information. • Ensured all data met strict quality and consistency controls. • Employed spreadsheets and trading tools for data management and annotation.

Analyzed, annotated, and labeled substantial financial market data with rule-based methods for pattern recognition. Implemented annotation workflows similar to those used in AI training, focused on accuracy and consistency. Maintained logs of decisions and refined data sets for improved model input quality. • Identified recurring patterns through systematic annotation. • Labeled and categorized time-series and market information. • Ensured all data met strict quality and consistency controls. • Employed spreadsheets and trading tools for data management and annotation.

2018 - Present

Project-Based Content Annotation and Data Labeling

TextClassification
Performed content reviews and annotated various datasets following precise labeling guidelines. Categorized and labeled data to enhance input quality for AI evaluation and model training. Detected inconsistencies and ensured high accuracy across repeated annotation tasks. • Reviewed and structured content for clarity and compliance. • Labeled and categorized information according to AI guidelines. • Ensured data annotation met model evaluation requirements. • Used spreadsheets and online tools for manual content labeling.

Performed content reviews and annotated various datasets following precise labeling guidelines. Categorized and labeled data to enhance input quality for AI evaluation and model training. Detected inconsistencies and ensured high accuracy across repeated annotation tasks. • Reviewed and structured content for clarity and compliance. • Labeled and categorized information according to AI guidelines. • Ensured data annotation met model evaluation requirements. • Used spreadsheets and online tools for manual content labeling.

2023 - 2023

Education

U

University of Benin

Bachelor of Science, Advanced Mathematics

Bachelor of Science
2016 - 2022

Work History

E

Empire Realty

Real Estate Sales Professional

Lagos
2022 - Present
F

Forex empire

Account manager and market analyst

ALIMOSHO
2018 - Present