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Raisha Zahid

@raishazahid

Data annotator at RWS Projects who audited and labeled 1,000+ image and text datasets against strict QA guidelines.

At RWS Projects, I audited and labeled 1,000+ image and text datasets against strict guidelines and QA checklists, flagging edge cases and maintaining SLA-driven turnaround. I also reviewed visual content for consistency and provided structured feedback to reduce defects.

At The Little Scientists, I conduct QA reviews of educational content, verify technical accuracy against style guidelines, and report issue resolution timelines. I’ve also validated image classification data at Indian Institute of Technology, Guwahati, and tested a text summarization project that improved summarization quality by 10% after a reported bug was fixed.

Experience

Work history, roles, and key accomplishments

Current

SME -STEM Curriculum&Content Development

Current

The Little Scientists

Jan 2026 - Present (10 months)

• Developed 500+ CogAT questions comparable to official papers for US K-12 students, QA reviews of educational content.
• Created& digitized grade-wise assessments to prepare students for AMO, AMC, Olympiad and Math Kangaroo; organized data and tracked progress
• Monitored online classes, produced status reports & met deadlines while coordinating with cross-functional remote teams.

QA Content Review Documentation Cross functional Coordination Content Creation Reporting And Analysis

Bilingual LLM Evaluator

RWS

May 2026 - Jun 2026 (1 month)

Audited and annotated 80+ AI-generated transcriptions against source images to ensure accuracy for training data, flagging discrepancies against strict quality guidelines. Labeled complex visual layouts and content elements, applying precise metadata tags and documenting quality issues.

Data Annotation Quality Audits Metadata Tagging LLM Evaluation

Data Annotator

RWS Projects

Sep 2025 - Oct 2025 (1 month)

Audited and labeled 1,000+ image and text datasets against strict guidelines and QA checklists, maintaining consistent, high-accuracy labels. Reviewed labels against standardized guidelines, flagging edge cases and maintaining SLA-driven turnaround across QC cycles.

Data Labeling QA&QC SLA Adherence Edge case identification

Video Annotation

Freelance

Jun 2025 - Jun 2025 (0 months)

Reviewed short video clips, writing timestamped descriptions and tags for objects, attributes (color, alignment), and events shown. Applied structured labeling guidelines to ensure accurate, consistent annotations across a high volume of short-form video content.

Video Annotation Time Stamping Data Labeling

Machine Learning Intern

Indian Institute of Technology, Guwahati

Aug 2022 - Oct 2022 (2 months)

Manually validated image classification datasets by testing prediction outputs, identifying mislabeled samples and improving data quality. Developed structured test cases for evaluating model performance, identifying and resolving data quality issues to improve accuracy.

Data Validation Manual Testing Image Classification Python