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Label Studio
Labelbox
Remotasks
Scale AI
Image
Text
Video
Bounding Box
Computer Programming/Coding
Prompt + Response Writing (SFT)
Fine-tuning
RLHF
Text Summarization
Evaluation/RatingI have been working in AI data annotation and training for over 3 years across 7 platforms — Outlier (Scale AI), Turing, DataForce, AfterQuery, Alignerr, Welo Data, and micro1. My work spans RLHF and RLAIF annotation, LLM output evaluation, red teaming, adversarial safety testing, SFT trajectory work, agent function-call evaluation, and audio/transcription QA. I've evaluated over 1,000 model outputs at 98% accuracy, covering safety, bias, factual correctness, and cultural sensitivity in both Arabic and English. I onboarded 6 platforms within 12 months, adapting quickly to different rubrics, taxonomies, and quality standards. I also contributed directly to benchmark tasks and built adversarial datasets that were used in iterative model improvement.
TextEvaluation/RatingWorked at Turing on LLM evaluation, RLHF annotation, SFT trajectory work, and agent function-call evaluation. Assessed model outputs for accuracy, instruction following, and response quality using structured rubrics. Delivered detailed written feedback and consistently met quality standards across multiple projects.
ImageBounding BoxWorked on image annotation tasks including bounding box labeling for AI training datasets. Annotated images accurately following project guidelines and quality standards, ensuring clean and consistent data for model training.
TextEvaluation/RatingWorked at Outlier AI on RLHF and RLAIF annotation, evaluating over 1,000 model outputs for accuracy, instruction following, and response quality in both Arabic and English. Wrote detailed structured feedback and ranked model responses as part of preference data pipelines. Built adversarial test cases and documented failure modes that were directly used in iterative model improvement.
Bachelor's degree, communication engineering
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