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V
Vladimir R.

Vladimir R.

Data Annotator / Self-Employer Trader

Italy flagRome, Italy

Key Skills

Software

No software listed

Top Subject Matter

Financial trading journaling and performance analysis
United Nations simulation and problem-solution presentation

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Question AnsweringQuestion Answering

Freelancer Overview

Self-Employed Financial Trader. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Laurea Triennale, Università degli studi "La Sapienza" (2024) and Diploma di Maturità, Liceo Scientifico Statale "Tullio-Levi Civita" (2024). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT) and Question Answering.

Labeling Experience

Self-Employed — Financial trading and AI-assisted trading journal (Nov 2024 — Current)

TextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Created an AI-assisted custom trading journal to track performance metrics and support analysis of mistakes. The work involved structuring information about trades and outcomes in a way that improves future decision-making. This aligns with AI training-style preparation of textual records for iterative learning and evaluation. • Documented trading metrics and error patterns in the journal • Used AI to organize and analyze journal entries • Refined prompts/workflows to support ongoing review • Applied insights from tracked mistakes to improve strategy execution

2024 - Present

NHSMUN — Model UN participation (Mar 2023 — Mar 2023)

TextTextQuestion AnsweringQuestion Answering

Participated in a United Nations model focused on managing presentations and proposing solutions to real-world problems. This required producing structured content, mapping information to problem statements, and generating answers during simulation activities. While not an explicit data-labeling role, the activity involved QA-style preparation of responses to prompts. • Developed and presented solutions to scenario problems • Produced structured answers for simulation questions • Coordinated presentation content with team objectives • Practiced iterative refinement of responses based on feedback

2023 - 2023

Education

L

Liceo Scientifico Statale "Tullio-Levi Civita"

Diploma di Maturità, Natural Sciences (Scientific High School Education)

Diploma di Maturità
2019 - 2024
U

Università degli studi "La Sapienza"

Laurea Triennale, Mathematics, AI and Computer Science

Laurea Triennale
2024

Work History

S

Self-Employed

Self-Employed Financial Trader

Rome
2024 - Present
U

United Network

Model United Nations Participant

New York, NY
2023 - 2023