Tatiana Tsvetkova

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Text

Video

Top Label Types

Classification

Question Answering

Text Generation

Translation Localization

RLHF

Freelancer Overview

I am an experienced AI data labeler and annotator with a strong background in training and evaluating generative AI models for leading companies including OpenAI, Google, Meta, and others. My work spans diverse projects such as ranking AI-generated responses, evaluating voice-interaction assistants, creating rubrics for real-world use cases, and performing optical character recognition and voice activity detection annotation. I am fluent in Russian, English, and Spanish, allowing me to provide high-quality linguistic and cultural evaluations. My proficiency in MS Office, Google Docs, and internal databases, along with a keen eye for detail and accuracy, enables me to deliver reliable data annotation and labeling for NLP and computer vision tasks. I am committed to producing precise and valuable training data to advance AI technologies.

Labeling Experience

Remote AI Tutor/AI Trainer/AI Content Manager/AI Response Rater/Data Annotator/AI Data Labeler

Scale AITextClassificationQuestion Answering

- Work on various projects, writing in Russian, English, and Spanish to train generative AI models. - Ranking a series of responses that were produced by an AI model. - Based on a given topic, writing a short story about that topic. - Assessing whether a piece of text produced by an AI model is factually accurate or not. - Assessing the quality of voice-interaction AI Assistants. - Creating rubrics and rating models based on their ability to answer real-world use cases. - Optical character recognition (annotation of images and transcribing). - Voice Activity Detection Timestamps Annotation. - Cultural and linguistic evaluation.

- Work on various projects, writing in Russian, English, and Spanish to train generative AI models. - Ranking a series of responses that were produced by an AI model. - Based on a given topic, writing a short story about that topic. - Assessing whether a piece of text produced by an AI model is factually accurate or not. - Assessing the quality of voice-interaction AI Assistants. - Creating rubrics and rating models based on their ability to answer real-world use cases. - Optical character recognition (annotation of images and transcribing). - Voice Activity Detection Timestamps Annotation. - Cultural and linguistic evaluation.

2024

Education

Work History