Albert S.
Junior Data Labeling Analyst
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Albert S. is a proficient Data Labeling Analyst and AI Trainer based in Accra, Ghana, with a Bachelor of Science degree in Computer Science from the University of Ghana, earned in 2023. With expertise in annotation platforms such as Labelbox, CVAT, and Amazon SageMaker Ground Truth, Albert has excelled in utilizing AI training methodologies including reinforcement learning from human feedback and sentiment tagging. His experience spans multiple industry projects where he has performed tasks like text classification and named entity recognition (NER) to refine natural language processing models. Albert's role as a Data Labeling Specialist involved categorizing extensive datasets and ensuring meticulous quality control, maintaining high accuracy standards above team benchmarks. His proficiency with computer vision techniques like bounding boxes and semantic segmentation further underscores his technical capabilities.
Experience
Data Labeling Analyst / AI Trainer
Company not specified · 2025 — PresentEvaluated and graded AI-generated text responses for accuracy and helpfulness, adhering to strict guidelines. Engaged in text classification and named entity recognition (NER) to aid in the training of natural language processing models. Conducted reviews and edits of datasets to rectify grammatical mistakes, awkward phrasing, and factual inconsistencies. Identified and reported subtle errors in complex text, ensuring the utilization of only high-quality data for model training. Maintained compliance with daily production targets while achieving accuracy ratings that surpassed team benchmarks.Data Labeling Specialist
Freelance / Project-Based · 2024 — 2024Categorized extensive batches of text, image, and audio data in accordance with specific project rulebooks. Employed various digital labeling platforms to precisely apply tags, bounding boxes, and classifications. Quickly interpreted complex and evolving annotation instructions, adjusting to changing project requirements without losing productivity. Conducted quality control by double-checking completed datasets, resolving formatting issues and inconsistencies prior to final submission. Maintained regular communication with project managers to clarify ambiguous guidelines and address edge cases.
Skills & Expertise
Education
- Bachelor of Science in Computer ScienceUniversity of Ghana · — — 2023
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