Dmitry Gritsenko

Key Skills

Software

Toloka

Other

Scale AI

Top Subject Matter

Mechanical Engineering

Physics

Mathematics

Top Data Types

Text

Document

Top Task Types

Prompt Response Writing SFT

Freelancer Overview

Domain Expert Team Lead. Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Toloka, Other, and Scale AI. Education includes Doctor of Philosophy, University of Illinois Chicago (2019) and Master of Science, Lomonosov Moscow State University (2013). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

AI Tutor (Expert)

TolokaTextPrompt Response Writing SFT

Led AI model training sessions focused on student-instructor problem solving in physics and mathematics. Designed structured, multistep learning tasks and evaluated model responses for accuracy and clarity. Provided detailed annotation and solution guidance for model improvement. • Created instructional prompts and solutions for LLMs • Evaluated AI responses using multiple scoring parameters • Conducted domain-specific training (physics, mathematics) • Contributed to large-scale annotation and review cycles

Led AI model training sessions focused on student-instructor problem solving in physics and mathematics. Designed structured, multistep learning tasks and evaluated model responses for accuracy and clarity. Provided detailed annotation and solution guidance for model improvement. • Created instructional prompts and solutions for LLMs • Evaluated AI responses using multiple scoring parameters • Conducted domain-specific training (physics, mathematics) • Contributed to large-scale annotation and review cycles

2024 - Present

Domain Expert Team Lead

TolokaText

Led and evaluated pilot data labeling projects with tech clients. Oversaw the quality of labeled deliverables and ensured consistency in annotations. Provided direct feedback to team members on data labeling accuracy and methodology. • Supervised annotation projects and domain expert teams • Evaluated labeled data for accuracy and completeness • Implemented feedback loops for annotation improvement • Managed communications with stakeholders on progress

Led and evaluated pilot data labeling projects with tech clients. Oversaw the quality of labeled deliverables and ensured consistency in annotations. Provided direct feedback to team members on data labeling accuracy and methodology. • Supervised annotation projects and domain expert teams • Evaluated labeled data for accuracy and completeness • Implemented feedback loops for annotation improvement • Managed communications with stakeholders on progress

2024 - Present

Prompt Engineering Consultant

OtherTextPrompt Response Writing SFT

Developed and refined scenarios for conversational AI involving fictional characters. Created and fine-tuned prompt-response pairs to optimize language model behavior. Authored dialogue elements like greetings and smart replies for AI personas. • Designed conversation flows for user–digital human interaction • Fine-tuned scenario prompts for LLM optimization • Built and tested dialogue datasets for AI personas • Enhanced naturalness and accuracy in AI-generated text

Developed and refined scenarios for conversational AI involving fictional characters. Created and fine-tuned prompt-response pairs to optimize language model behavior. Authored dialogue elements like greetings and smart replies for AI personas. • Designed conversation flows for user–digital human interaction • Fine-tuned scenario prompts for LLM optimization • Built and tested dialogue datasets for AI personas • Enhanced naturalness and accuracy in AI-generated text

2023 - Present

AI Trainer (Expert)

Scale AIText

Crafted complex prompts and evaluated AI model outputs across physics, mathematics, and mechanical engineering. Ranked and rated large language model responses using domain criteria and performance metrics. Provided detailed and structured feedback on accuracy, quality, and compliance in AI-generated text. • Developed domain-specific prompt datasets for model training • Assessed responses using defined rating metrics • Provided structured, actionable feedback for model refinement • Supported performance tracking across multiple expert domains

Crafted complex prompts and evaluated AI model outputs across physics, mathematics, and mechanical engineering. Ranked and rated large language model responses using domain criteria and performance metrics. Provided detailed and structured feedback on accuracy, quality, and compliance in AI-generated text. • Developed domain-specific prompt datasets for model training • Assessed responses using defined rating metrics • Provided structured, actionable feedback for model refinement • Supported performance tracking across multiple expert domains

2023 - 2024

Education

Work History