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Toloka
Video
Image
Audio
Bounding Box
Classification
Prompt + Response Writing (SFT)
Data Collection
RLHFI have experience working as an AI Trainer and Data Labeling Specialist on platforms such as Toloka and Luel AI, where I contributed to the development and improvement of artificial intelligence systems through accurate data annotation, content evaluation, and task-based model training. My responsibilities included handling various data labeling projects, completing egocentric tasks, reviewing datasets for quality and consistency, and following detailed project guidelines to ensure reliable outputs for machine learning applications. My core strengths include strong attention to detail, accuracy, adaptability, and the ability to maintain high-quality standards while working independently in fast-paced remote environments. I am skilled at identifying inconsistencies in data, following complex instructions, and delivering precise annotations that support AI model performance. I am also highly organized, quick to learn new workflows, and committed to producing dependable results across different AI training and data annotation projects.
TextCompleted AI data labeling and evaluation tasks to enhance dataset quality and support better AI model performance. Worked with task guidelines and performed careful review of labeled items. • Annotated data according to task instructions • Ensured high attention to detail during evaluation • Verified label quality through consistency checks • Supported remote AI data annotation activities
TolokaTextEvaluated and labeled AI-related data to support model improvement and higher accuracy. Followed provided guidelines while reviewing examples and identifying patterns in the dataset. • Performed data annotation and quality-focused checks • Used written English understanding for labeling consistency • Spotted anomalies and ensured guideline compliance • Contributed to overall data evaluation workflows
Higher National Diploma, Marketing
National Diploma, Marketing
Sales Representative (Onsite)
