For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
R

Raman Jubril

Financial Analyst & Accountant in Contract Review, Compliance, and Legal Research

Saudi Arabia flagRiyadh, Saudi Arabia
$10.00/hrEntry Level

Key Skills

Software

No software listed

Top Subject Matter

Legal Services & Contract Review
Regulatory Compliance & Risk Analysis
Legal Research & Document Analysis

Top Data Types

TextText
DocumentDocument

Top Task Types

ClassificationClassification
Data CollectionData Collection
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

Data Labeling Specialist (Finance Data Annotation). Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Business Administration, RBC College of Business (2025) and Bachelor of Science, University of Uyo (2017). AI-training focus includes data types such as Document and labeling workflows including Classification.

Entry LevelEnglish

Labeling Experience

Data Labeling Specialist (Finance Data Annotation)

DocumentClassification
Validated and quality-checked structured financial data entries against complex classification rules, similar to AI annotation quality assurance processes. Consistently applied strict rule-based frameworks to categorize and label financial transactions and reporting items in adherence to annotation standards. Identified data inconsistencies, misclassifications, and outliers through systematic review, ensuring data readiness for downstream model training. • Maintained 99% accuracy across high-volume financial processing tasks. • Documented labeling methodologies and guidelines for use by annotation teams. • Coordinated with cross-functional teams to ensure classification consistency and resolve disputes. • Built and maintained structured data templates for consistent information organization.

Validated and quality-checked structured financial data entries against complex classification rules, similar to AI annotation quality assurance processes. Consistently applied strict rule-based frameworks to categorize and label financial transactions and reporting items in adherence to annotation standards. Identified data inconsistencies, misclassifications, and outliers through systematic review, ensuring data readiness for downstream model training. • Maintained 99% accuracy across high-volume financial processing tasks. • Documented labeling methodologies and guidelines for use by annotation teams. • Coordinated with cross-functional teams to ensure classification consistency and resolve disputes. • Built and maintained structured data templates for consistent information organization.

2021 - Present

Data Annotation & Classification Specialist (Finance & Inventory)

DocumentClassification
Managed end-to-end data classification and validation workflows for large volumes of structured financial and inventory records, ensuring uniformity and accuracy throughout annotation cycles. Transitioned entire datasets from manual to digital format, performing quality validation and integrity checks comparable to data labeling QA tasks. Applied inventory classification standards to extensive product catalogues, mirroring the requirements for annotation schemas. • Reduced errors and rework by standardizing data processing workflows. • Ensured labeling consistency by enforcing rule-based data classification guidelines. • Performed systematic data reconciliation to resolve discrepancies. • Oversaw data migration and integrity verification at each workflow stage.

Managed end-to-end data classification and validation workflows for large volumes of structured financial and inventory records, ensuring uniformity and accuracy throughout annotation cycles. Transitioned entire datasets from manual to digital format, performing quality validation and integrity checks comparable to data labeling QA tasks. Applied inventory classification standards to extensive product catalogues, mirroring the requirements for annotation schemas. • Reduced errors and rework by standardizing data processing workflows. • Ensured labeling consistency by enforcing rule-based data classification guidelines. • Performed systematic data reconciliation to resolve discrepancies. • Oversaw data migration and integrity verification at each workflow stage.

2017 - 2021

Education

R

RBC College of Business

Master of Business Administration, Accounting and Finance

Master of Business Administration
2023 - 2025
U

University of Uyo

Bachelor of Science, Accounting

Bachelor of Science
2013 - 2017

Work History

U

U Figures Consultancy

Financial Analyst & Accountant

Dubai
2021 - Present
A

Al Kemma Aluminium

Accountant & Administrator

Ras Al Khaimah
2017 - 2021