Luok Patrick

Detail-oriented AI training and data annotation professional experienced in evaluating AI-generated content, fact-checking claims, identifying hallucinations, and applying consistent labels to text and safety-sensitive content. Skilled in rubric-based response ranking, editing, classification, ambiguity review, and following detailed guidelines with strong written communication, research, and analytical judgment.

AI Training, Response Evaluation & Data Annotation (2025 – Present)

• Create challenging, realistic prompts to test an artificial intelligence system's reasoning, instruction-following, factual accuracy, and ability to handle ambiguity.
• Compare multiple AI-generated responses and rank them against explicit quality criteria, including correctness, relevance, completeness, clarity, helpfulness, and adherence to complex instructions.
• Edit, rewrite, and improve model outputs to make responses clearer, more accurate, natural, concise, and aligned with the requested tone and task.
• Review AI outputs for hallucinations, unsupported claims, contradictions, misleading statements, and other factual or logical weaknesses; conduct fact-checking and research-based claim verification where appropriate.
• Apply text labels and classifications consistently according to defined annotation guidelines, maintaining accuracy when handling edge cases and sensitive or ambiguous examples.
• Assess safety-sensitive and policy-related scenarios, including potentially harmful, inappropriate, or disallowed content, and flag material requiring escalation or further review.
• Identify subtle quality issues including missing context, instruction violations, overconfident language, poor refusal behavior, bias indicators, and irrelevant or incomplete answers.
• Maintain consistent evaluation standards across repetitive, high-volume tasks while documenting rationale clearly enough for quality-control review and asking clarifying questions when needed.

Writing, Editing & Content Quality

• Produce and refine written content with emphasis on grammar, structure, clarity, factual coherence, audience fit, and professional tone while following complex instructions.
• Rewrite source material while preserving intended meaning and improving readability, organization, and precision.
• Review written material for inconsistencies, unclear or unsupported claims, missing information, formatting issues, and language-quality problems.
• Adapt content for different audiences and instructions while maintaining accuracy and natural language quality.

Data Entry, Transcription & Language-Quality Tasks

• Transcribe and organize information with strong attention to accuracy, spelling, formatting, and consistency.
• Review text and language data for errors and apply structured corrections or classifications according to task requirements.
• Handle repetitive, detail-sensitive workflows while maintaining quality and meeting defined instructions and deadlines.