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Data Annotator with 2+ years in AI Training & Data Labeling
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Assessing your cultural and operational fit
Detail-oriented Data Annotator with 2+ years of experience in AI training and large-scale data labeling projects. Specialized in image, text, and audio annotation with strong accuracy and consistency. Proficient in following complex annotation guidelines and delivering high-quality datasets for machine learning models. MCA graduate with hands-on experience in Python and data science tools.
AlmaBetter
Data Science Trainee · Python, statistics, data analysis, ML
May 1, 2022 – June 1, 2023
Al-Falah University
MCA
N/A – June 30, 2020
Prestige Institute of Management & Research
BCA
N/A – June 30, 2018
Innovative Computer Academy
Instructor - Computer Science
December 1, 2020 – June 1, 2022
India
Breast Cancer Detection
June 25, 2026 – Present
Built and evaluated classification models using Python
Cultural Fit Analysis
The candidate's background includes both academic and practical experience in data science and computer science instruction. Their self-employed role in AI Training & Data Annotation demonstrates an entrepreneurial spirit and adaptability. The project diversity, though limited to one academic project, shows an interest in machine learning applications. The target role of Data Annotator aligns well with their stated skills and recent experience, indicating a good cultural fit for a detail-oriented, data-focused environment.
Soft Skills & Operational Fit
The candidate exhibits strong attention to detail and accuracy, particularly in repetitive tasks and large datasets. Their experience as an instructor suggests good communication and problem-solving skills. The self-employed role indicates self-discipline and initiative. Availability for full-time remote work and immediate start aligns well with operational flexibility.