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iMerit
Labelbox
Mindrift
Image
Text
Classification
Text Generation
Red Teaming
Evaluation/RatingConsultant: AI Image Output Evaluator. Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include iMerit. Education includes Master of Arts, Northumbria University (2021) and Bachelor of Arts, Petroleum-Gas University (2020). AI-training focus includes data types such as Image and labeling workflows including Evaluation and Rating.
Assessing text output from two different models for craft and classifying preference. The project is on Labelbox, part of Alignerr's AI training projects.
I evaluated image outputs generated by advanced language models to assess their quality and accuracy. I annotated these outputs with structured feedback and ratings, focusing on identifying biases and inconsistencies in model performance. My work contributed to refining model outputs and enhancing overall LLM reliability. • Provided comprehensive qualitative annotations for model-generated images • Assessed consistency, accuracy, and quality across outputs • Detected and documented biases or errors in LLM image generation • Structured feedback was supplied to improve AI behavior and future outputs
Master of Arts, English Literature
Bachelor of Arts, English and French Language and Literature
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