Decision Intelligence Analyst
Remote · location unlistedFull-timePosted 4mo agoStill listed 3 days ago
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Job overview
Rwazi is hiring a Decision Intelligence Analyst. The Decision Intelligence Analyst at Rwazi is responsible for ensuring the quality and integrity of the platform's decision-grade outputs. This role involves evaluating system outputs, identifying reasoning weaknesses, and enhancing AI judgment through structured feedback and training. The analyst acts as the quality control layer for decision intelligence, ensuring sound and defensible decisions.
Key focus areas include Evaluate decision outputs for logical integrity and sound reasoning, Identify patterns of judgment failure or inconsistency, and Design structured feedback loops to improve AI reasoning.
Important skills include Analytical Reasoning, Logical Reasoning, Evaluating AI Systems, Evaluating Decision Frameworks, Evaluating Complex Models, and Dissecting Multi-Step Reasoning Chains. Preferred (not required): Critique Structured Reasoning, Clarity Of Evaluation Frameworks, Depth Of Logical Analysis, and Identify Hidden Failure Modes.
Skills & qualifications
Skills
Qualifications
Full job description
Decision Intelligence Analyst Team: Product Location: Flexible / Remote Reporting to: VP of Product
Role Overview Rwazi’s platform produces decision-grade outputs powered by structured reasoning and AI-assisted judgment.
The Decision Intelligence Analyst owns decision quality.
This role evaluates system outputs, identifies reasoning weaknesses, and strengthens AI judgment through structured feedback and training loops.
It ensures the platform does not merely generate outputs — but generates sound, defensible decisions.
The Decision Intelligence Analyst is the quality control layer for decision intelligence.
Core Mandate The Decision Intelligence Analyst is accountable for:
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Evaluating decision outputs for logical integrity and sound reasoning
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Identifying patterns of judgment failure or inconsistency
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Designing structured feedback loops to improve AI reasoning
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Training and refining AI judgment frameworks
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Defining measurable standards for decision quality
This role governs the reliability of Rwazi’s decision engine.
Key Responsibilities Decision Output Evaluation
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Review system outputs for logical coherence and reasoning rigor
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Assess signal interpretation accuracy
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Identify tradeoff miscalculations or flawed inference pathways
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Document recurring reasoning gaps
AI Judgment Training
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Create structured examples to refine reasoning performance
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Develop edge-case libraries for training robustness
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Formalize evaluation rubrics for decision quality
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Collaborate with R&D to improve reasoning architecture
Quality Standards & Metrics
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Define measurable criteria for decision-grade output
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Track improvements in reasoning consistency
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Monitor drift in output quality over time
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Establish acceptance thresholds for release
Failure Mode Analysis
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Identify systemic reasoning weaknesses
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Surface blind spots in signal modeling
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Propose structured adjustments to logic layers
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Escalate structural flaws early
Cross-Functional Collaboration
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Partner with Product to align quality with roadmap goals
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Collaborate with R&D on advanced reasoning improvements
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Provide structured feedback to Engineering when system behavior deviates
Role Impact Strong performance in this role results in:
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Higher confidence in decision outputs
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Reduced reasoning inconsistencies
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Improved explainability
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Faster detection of system drift
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Stronger enterprise trust
This role protects the intellectual credibility of the platform.
What This Role Is Not
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This is not general QA
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This is not surface-level data validation
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This is not simple output review
This role evaluates reasoning quality, not formatting correctness.
Qualifications and Profile We are looking for individuals who demonstrate:
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Strong analytical and logical reasoning ability
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Experience evaluating AI systems, decision frameworks, or complex models
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Comfort dissecting multi-step reasoning chains
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Ability to formalize judgment criteria
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Strong written clarity and structured thinking
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Comfort working with ambiguity and edge cases
Candidates may come from applied AI evaluation, consulting, operations research, economics, philosophy of logic, or technically rigorous analytical fields.
Cultural Fit We value analysts who:
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Obsess over reasoning integrity
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Question outputs rather than accept them
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Care about intellectual rigor
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Prefer structured evaluation over intuition
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Are comfortable holding high standards
How Candidates Are Evaluated Candidates are evaluated based on:
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Their ability to critique and improve structured reasoning
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Clarity of their evaluation frameworks
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Depth of logical analysis
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Ability to identify hidden failure modes
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Their rigor in defining measurable quality standards
We prioritize demonstrated reasoning discipline over titles alone.
Summary The Decision Intelligence Analyst safeguards the quality and integrity of Rwazi’s decision engine.
This role ensures that as AI capabilities expand, decision outputs remain structured, defensible, and enterprise-grade.
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