Darius K.

Key Skills

Software

Remotasks

CVAT

Labelbox

Supervisely

Other

Top Subject Matter

Financial Compliance & Risk Analysis

Accounting Domain Expertise

Risk Assessment

Top Data Types

Text

Document

Top Task Types

Polygon

Bounding Box

Classification

Entity (NER) Classification

Segmentation

Text Generation

Question Answering

Text Summarization

RLHF

Fine-tuning

Red Teaming

Transcription

Evaluation/Rating

Object Detection

Data Collection

Prompt + Response Writing (SFT)

Computer Programming/Coding

Freelancer Overview

AI Research & Evaluation Specialist (Finance Focus). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks, CVAT, and Labelbox. Education includes Master of Science, Anglia Ruskin University (2023). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Research & Evaluation Specialist (Finance Focus)

RemotasksText

As an AI Research & Evaluation Specialist at Remotasks, I evaluated and annotated datasets for training AI models in finance. This role required assessing AI-generated outputs for financial reasoning, ensuring compliance with accounting principles and risk sensitivity. I applied structured rubrics to validate the logical consistency and numerical accuracy of AI model outputs. • Labeled and annotated text data involving financial statements and reports. • Utilized tools including CVAT, Labelbox, and Supervisely for dataset preparation. • Developed frameworks for quality assurance and evaluation in finance AI projects. • Supported model improvements for high-stakes decision environments.

2023 - Present

Freelance Financial QA & AI Evaluation Specialist

OtherText

As a Freelance Financial QA & AI Evaluation Specialist, I reviewed AI-generated financial content and analytical outputs for correctness and coherence. I was responsible for developing benchmarking frameworks and preparing formal QA reports for AI in finance and accounting scenarios. I contributed to improving dataset quality and standardizing evaluation rubrics for finance AI systems. • Assessed and annotated text-based AI outputs for accuracy and professionalism. • Created formal QA evaluation frameworks for financial AI applications. • Conducted over 30 AI dataset evaluations focused on accounting and financial reasoning. • Improved training and validation datasets for investment analysis AI models.

2019 - Present

Education

Work History