Rustem Davidson

Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Text

Audio

Top Label Types

Question Answering

Emotion Recognition

Evaluation Rating

Prompt Response Writing SFT

Audio Recording

Transcription

Freelancer Overview

I am an experienced data annotation and AI response evaluation specialist with a strong background in assessing and labeling training data for natural language processing tasks. My work includes annotating AI-generated responses, classifying user intent, and evaluating content quality and safety across diverse projects. I excel at following complex guidelines, ensuring accuracy and neutrality, and adapting to evolving task requirements. My experience spans remote contract roles where I consistently deliver high-quality results in data labeling, content moderation, and quality assurance, leveraging my attention to detail and strong written communication skills. I am comfortable working independently and maintaining confidentiality while handling sensitive or ambiguous content.

Labeling Experience

DataAnnotation.tech – AI Training & Evaluation

Data Annotation TechTextQuestion AnsweringEmotion Recognition

Worked on text annotation and AI response evaluation projects for large language model training. Tasks included writing and evaluating prompts, generating and reviewing model responses, classifying user intent, and applying detailed rubrics to assess quality, correctness, and safety. Regularly performed preference ranking between multiple model outputs and reviewed other annotators’ work for guideline adherence. Completed tasks involving sensitive and harmful content categories, including offensive language and safety-critical prompts, ensuring outputs met neutrality and policy requirements. Maintained consistency across evolving task specifications and followed strict quality control standards.

Worked on text annotation and AI response evaluation projects for large language model training. Tasks included writing and evaluating prompts, generating and reviewing model responses, classifying user intent, and applying detailed rubrics to assess quality, correctness, and safety. Regularly performed preference ranking between multiple model outputs and reviewed other annotators’ work for guideline adherence. Completed tasks involving sensitive and harmful content categories, including offensive language and safety-critical prompts, ensuring outputs met neutrality and policy requirements. Maintained consistency across evolving task specifications and followed strict quality control standards.

2024 - 2025

Audio Annotation – AI Training & Evaluation

Data Annotation TechAudioEmotion RecognitionEvaluation Rating

Worked on audio and speech data annotation projects for AI model training. Tasks included reviewing voice-based prompts and responses, evaluating audio quality, accuracy, and emotional tone, and classifying outputs according to detailed task rubrics. Performed preference ranking between multiple audio responses and assessed other annotators’ work for consistency with guidelines. Handled safety-related and sensitive audio content, ensuring outputs met neutrality and content policy requirements. Maintained accuracy and consistency across evolving specifications and long task batches.

Worked on audio and speech data annotation projects for AI model training. Tasks included reviewing voice-based prompts and responses, evaluating audio quality, accuracy, and emotional tone, and classifying outputs according to detailed task rubrics. Performed preference ranking between multiple audio responses and assessed other annotators’ work for consistency with guidelines. Handled safety-related and sensitive audio content, ensuring outputs met neutrality and content policy requirements. Maintained accuracy and consistency across evolving specifications and long task batches.

2024

Education

Work History