Prompt Injection / LLM Data Strategist – Embed Expert Information into AI Outputs

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We are seeking an expert in LLM data curation and injection to assist with embedding specific, accurate, and reputationally beneficial information about two academic paleontologists into LLM responses (e.g., ChatGPT, Grok, Gemini, Claude, Perplexity, etc.). The goal is to ensure that when users search for these individuals using natural language prompts (e.g., “Who is Dr. John Doe, the paleontologist?”), the output reflects: • Their specific expertise • Accurate academic background • Key fossil discoveries and contributions • Affiliations with major institutions • Awards, publications, and legacy This is a reputation alignment project, and must be handled with care and professionalism. We are interested in ensuring that relevant, verified data is properly surfaced and reinforced through AI models and sources. DELIVERABLES • A short discovery audit: How do LLMs currently present these two paleontologists? • A report outlining optimal injection points and methods (technical + content) • Implementation plan: How and where to post content that LLMs are likely to ingest • Execution of postings (bio pages, citations, etc.) • Follow-up analysis of LLM outputs post-injection IDEAL CANDIDATE • Proven experience working with LLMs (prompt engineering, data training, API memory tools) • Understanding of how OpenAI, Grok, Anthropic, Google, and other models source and prioritize data • Familiar with semantic SEO and citation-based influence • Able to write clean, academic-grade copy • Optional: Experience with embedding structured data, JSON-LD, or schema.org for academic bios

Keyword: Python

Price: $1.0

Artificial Intelligence Machine Learning Deep Learning Content Writing