SayPro Collecting, reviewing, and validating the GPT-generated lists for accuracy and relevance.

SayPro Job Description Addendum: GPT Output Validation Specialist

SayPro Responsibility Title:

GPT Output Reviewer – Risk Topic Validation

SayPro Objective:

Ensure the accuracy, relevance, and quality of GPT-generated risk topic lists used across SayPro research, training, and reporting functions.

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🔹 Key Responsibilities:

• Collect GPT-generated outputs containing risk-related topic lists from SayPro-approved prompts.
• Review each list to assess whether the generated topics:
  • Are relevant to current risk domains (e.g., financial, operational, geopolitical).
  • Meet SayPro’s standards for clarity and uniqueness.
  • Avoid duplicates, off-topic entries, or hallucinated terms.
• Validate the list by:
  • Flagging or removing irrelevant or inaccurate topics.
  • Annotating lists with domain tags (e.g., “credit risk”, “climate risk”).
  • Cross-referencing with SayPro’s official risk taxonomy when applicable.
• Submit clean, categorized, and approved topic lists to the SayPro Risk Knowledge Base or assigned analyst team.

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🔹 Review Criteria:

Criterion	Target Standard
Relevance	≥ 95% topics must relate to risk domains
Accuracy	Must align with real-world terminology
Uniqueness	Duplicates ≤ 5%
Categorization	100% topics tagged correctly by domain
Format Compliance	Follows SayPro’s structured format

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🔹 Workflow Overview:

1. Receive GPT-generated list (≥100 topics).
2. Review line-by-line against SayPro quality checklist.
3. Edit, remove, or tag as needed.
4. Submit validated version to central repository or designated stakeholder.

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🔹 Tools Used:

• SayPro Risk Review Portal or SayPro AI Workspace
• Excel or SayPro Validator Tool for tagging and notes
• GPT platform (for re-prompting or clarification if needed)

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🔹 Required Skills:

• Familiarity with risk-related concepts and taxonomies.
• Attention to detail and high tolerance for repetitive review.
• Basic experience with GPT outputs and AI behavior.
• Comfort with categorizing and documenting conceptual data.

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🔹 Professional Growth Opportunities:

• Pathway to AI Quality Assurance Analyst or Prompt Engineer roles.
• Involvement in SayPro’s AI governance and ethics committees.
• Eligibility to co-author internal best practices on AI usage in risk research.