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Competencies
Demonstrated experience with AI Data Training.
Demonstrated experience with Data Annotation.
Demonstrated experience with Prompt Engineering.
Demonstrated experience with Conversational AI.
Demonstrated experience with Data Quality Assurance.
Education
Summary
Professional profile
Experience
AI Data Trainer
Tag, categorize, and annotate raw text, audio, image, and video data for AI and machine-learning model training.. Craft precise prompts and realistic conversational dialogues to guide large language models (LLMs).. Evaluate AI-generated responses for accuracy, bias, safety, relevance, grammar, and helpfulness; provide constructive feedback.. Identify recurring failure modes, hallucinations, factual errors, inconsistencies, and grammatical mistakes; document corrective actions.. Apply contextual and specialized knowledge for domain adaptation while maintaining project-specific quality standards.. Worked on AI training projects including Neon (transcription and tagging), Nidra Image Output Editing, and Nidra Image Preference.
Data Annotator
Annotated and labeled diverse data according to project guidelines, specifications, and quality standards.. Reviewed annotations for accuracy, consistency, and completeness and made corrections as needed.. Collaborated with data scientists and engineers to support high-quality datasets for machine-learning models.. Maintained organized annotation records, learned new annotation techniques, communicated issues promptly, and consistently met project deadlines.
Chat Moderator
Monitored online conversations, applied community guidelines, and maintained a professional and respectful environment.. Communicated effectively with diverse users while managing multiple conversations and handling problematic content appropriately.