Lada Batalova

Key Skills

Software

Scale AI

Internal/Proprietary Tooling

Other

Top Subject Matter

Data labeling & Audio Transcription

Content moderation & AI Training

General Content & Localization

Top Data Types

Text

Audio

Video

Top Task Types

Classification

Transcription

Data Collection

Evaluation Rating

Text Summarization

Question Answering

RLHF

Text Generation

Object Detection

Prompt Response Writing SFT

Freelancer Overview

Web Content Analyst. Brings 14+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Scale AI. Education includes Master of Arts, Buryat State University (2015) and Bachelor of Arts, Moscow State Linguistic University (2010). AI-training focus includes data types such as Text and Audio and labeling workflows including Classification and Transcription.

Labeling Experience

Data Annotation Specialist, Audio Transcriber

AudioTranscription

This role involved recording and annotating speech data in English and Russian to support AI speech recognition models. Tasks included labeling speech and non-speech audio segments, transcribing recordings, and conducting quality assurance of annotated datasets. Responsibilities included correcting errors from automated transcriptions and maintaining dataset reliability. • Labeled and annotated speech audio according to project guidelines. • Performed high-accuracy transcription and post-editing. • Conducted QA to ensure dataset consistency. • Supported training and evaluation of AI speech models.

This role involved recording and annotating speech data in English and Russian to support AI speech recognition models. Tasks included labeling speech and non-speech audio segments, transcribing recordings, and conducting quality assurance of annotated datasets. Responsibilities included correcting errors from automated transcriptions and maintaining dataset reliability. • Labeled and annotated speech audio according to project guidelines. • Performed high-accuracy transcription and post-editing. • Conducted QA to ensure dataset consistency. • Supported training and evaluation of AI speech models.

2026 - Present

AI Data Annotation Specialist

Scale AIAudioClassification

This position required tagging and classifying audio data for machine learning and AI model training. Tasks included identifying and categorizing different audio elements such as speech, background noise, and sound events. Additional duties covered response evaluation and classification for machine learning projects. • Worked with audio datasets for speech recognition and understanding. • Performed detailed audio tagging and classification. • Ensured accuracy of classified audio elements for improved model performance. • Contributed to training datasets for advanced AI systems.

This position required tagging and classifying audio data for machine learning and AI model training. Tasks included identifying and categorizing different audio elements such as speech, background noise, and sound events. Additional duties covered response evaluation and classification for machine learning projects. • Worked with audio datasets for speech recognition and understanding. • Performed detailed audio tagging and classification. • Ensured accuracy of classified audio elements for improved model performance. • Contributed to training datasets for advanced AI systems.

2024 - Present

Web Content Analyst

TextClassification

This role involved developing and maintaining large-scale datasets for search query categorization, content evaluation, and labeling. Responsibilities included creating and refining category descriptions, labels, and annotation guidelines in multiple languages as part of machine learning and content moderation projects. The position required labeling and classifying sensitive content and evaluating search results for anti-spam and content safety solutions. • Coordinated dataset creation in English, Russian, Japanese, and Chinese. • Maintained consistency and accuracy across projects and languages. • Labeled and classified NSFW, violent, and restricted content. • Supported projects for parental control, anti-phishing, and ad-blocker evaluation.

This role involved developing and maintaining large-scale datasets for search query categorization, content evaluation, and labeling. Responsibilities included creating and refining category descriptions, labels, and annotation guidelines in multiple languages as part of machine learning and content moderation projects. The position required labeling and classifying sensitive content and evaluating search results for anti-spam and content safety solutions. • Coordinated dataset creation in English, Russian, Japanese, and Chinese. • Maintained consistency and accuracy across projects and languages. • Labeled and classified NSFW, violent, and restricted content. • Supported projects for parental control, anti-phishing, and ad-blocker evaluation.

2013 - 2023

Education

Work History