Shamsa - Data Entry Clerk

Demonstrated experience with AI Training & Human Feedback.

Demonstrated experience with AI Output Evaluation.

Demonstrated experience with Prompt Engineering.

Demonstrated experience with LLM & Multimodal AI Evaluation.

Demonstrated experience with Quality Assurance & Dataset Auditing.

Evaluate and improve AI-generated outputs using detailed evaluation rubrics and human-feedback methodologies.. Compare AI responses against defined quality, accuracy, reasoning, and instruction-following criteria.. Identify subtle errors, omissions, inconsistencies, and edge cases requiring human judgment.. Conduct quality-assurance reviews and maintain consistency across AI training workflows.. Produce clear written rationales supporting evaluation and ranking decisions.. Apply evolving project guidelines consistently across high-volume AI training tasks.. Document feedback and observations for AI model-improvement pipelines.

Train AI systems through human preference feedback, prompt engineering, and structured evaluation.. Evaluate AI-generated responses against project-specific quality criteria.. Compare competing outputs and provide detailed written rationales.. Assess accuracy, instruction adherence, safety, quality, and contextual relevance.. Apply consistent evaluation standards across AI-training tasks.. Provide feedback supporting continuous improvement of AI model performance.

Annotated and validated datasets used to train and improve LLM and NLP systems.. Evaluated AI-generated outputs for factual accuracy, contextual relevance, coherence, and instruction adherence.. Reviewed and corrected speech and text datasets to improve training-data quality.. Performed quality-assurance reviews against project and client requirements.. Investigated ambiguous cases and documented annotation inconsistencies and edge cases.. Collaborated with distributed teams while meeting accuracy and productivity requirements.

Annotated large-scale computer vision, text, and multimodal datasets for machine-learning development.. Performed object detection, classification, semantic segmentation, bounding-box annotation, and image-quality assessment.. Evaluated and corrected AI-generated predictions and inaccurate annotations.. Applied detailed client guidelines while maintaining annotation consistency and accuracy.. Conducted quality-control reviews and documented ambiguous cases for calibration.

Delivered AI training, annotation, evaluation, and data-quality services for multiple clients.. Evaluated AI-generated outputs for accuracy, completeness, instruction following, and contextual relevance.. Ranked competing AI outputs and documented evaluation rationales.. Performed quality assurance, dataset validation, and error correction.. Adapted to different client guidelines, annotation requirements, and quality standards.

Evaluate candidates against technical, professional, and competency requirements for technology-focused roles.. Review candidate profiles, qualifications, experience, and role requirements to support structured hiring decisions.. Conduct structured candidate assessment and document evaluation outcomes accurately.. Maintain confidential candidate records and HR documentation across recruitment workflows.. Coordinate recruitment and HR workflows across distributed teams and international time zones.. Apply requirements analysis and consistent assessment criteria throughout technical recruitment processes.

Screened candidates against technical, professional, and competency requirements.. Reviewed CVs and candidate information against defined role requirements and assessment criteria.. Supported structured candidate evaluation and maintained accurate recruitment documentation.. Coordinated recruitment processes across distributed workflows while maintaining clear communication.. Maintained candidate records throughout high-volume recruitment activities.

Own and coordinate recruitment and HR workflows across distributed teams and international time zones, ensuring priorities, follow-ups, and documentation remain on track.. Manage confidential employee and candidate records with accuracy, discretion, and strong attention to detail.. Review profiles, qualifications, experience, and requirements to support structured decisions and identify suitable candidates.. Coordinate communications, follow-ups, scheduling, and stakeholder interactions throughout recruitment and HR processes.. Use digital productivity tools to organize tasks, track workflows, maintain records, and support efficient operations.. Identify process gaps and take initiative to resolve issues before they affect delivery.

Delivered professional customer service while handling banking and administrative processes with accuracy and confidentiality.. Maintained records and documentation in line with established procedures and compliance requirements.. Supported administrative operations, internal communication, and day-to-day customer requests.. Developed strong listening, communication, organization, attention-to-detail, and problem-solving skills.