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AI Data Annotation Specialist
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Competencies
Demonstrated experience with Programming in Python.
Demonstrated experience with Programming in Java.
Demonstrated experience with Programming in JavaScript.
Demonstrated experience with Database or system design.
Demonstrated experience with Software development and automation.
Education
Summary
AI Data Annotation Specialist open to new opportunities
Experience
AI Data Annotation Specialist
Identify and label PDF document parts (such as text, tables, figures, captions, forms, and headers) in accordance to project requirements.. Used accurate bounding boxes and kept consistency and accuracy in annotations in large data sets.. Properly ordered and organized reading order and document structure in multi-column documents, rotated pages and complex layouts.. Confirmed annotated data sets for quality assurance, consistency and conformance to the annotation standard.. Recognized cases that were not clear and areas where guidelines were missing, and brought these areas up to supervisors for clarification.. Completed repetitive tasks of annotation with high attention to detail and accuracy while working efficiently.. Improved AI model training efforts through structured information validation from complex documents.. Ensured confidentiality and followed rigorously data security and project compliance policies.
AI Prompt Engineer & Model Evaluation Specialist
Scrutineered AI-generated responses for reasoning, fact-checking and clarity.. Engaged in structured evaluation and classification activities to enhance AI training sets.. Followed rigorous assessment criteria with consistency for a range of AI content initiatives.. Found inconsistencies, 'hallucinations' and data quality problems in outputs from models.. Worked collaboratively in agile AI systems and machine learning.