Decision Intelligence Analyst

Accountabilities

• Evaluate AI-generated decision outputs to ensure logical consistency, reasoning strength, and overall integrity, identifying gaps in multi-step inference and tradeoff handling.
• Detect patterns of reasoning failure, inconsistency, or drift, and document recurring weaknesses in decision pathways.
• Design structured feedback mechanisms and evaluation rubrics to continuously improve AI judgment quality.
• Contribute to the development of training frameworks, including edge-case libraries and structured examples for model refinement.
• Define and maintain measurable standards for decision-quality outputs, ensuring consistency and reliability over time.
• Collaborate with product, research, and engineering teams to align reasoning quality improvements with system evolution and roadmap priorities.
• Surface systemic flaws in reasoning logic early and propose structured enhancements to improve decision architecture.

Requirements

• Strong analytical thinking with the ability to break down complex, multi-step reasoning processes and evaluate them critically.
• Experience in working with AI systems, decision frameworks, applied analytics, or other highly structured problem-solving environments.
• Ability to formalize judgment criteria and translate abstract reasoning quality into measurable evaluation standards.
• Excellent written communication skills with a strong emphasis on structured thinking and clarity.
• Comfort working with ambiguity, edge cases, and incomplete information while maintaining analytical rigor.
• Background may include applied AI evaluation, consulting, economics, operations research, philosophy of logic, or similarly rigorous analytical fields.
• A mindset focused on questioning, refining, and improving reasoning systems rather than accepting outputs at face value.

Benefits

• Opportunity to work on cutting-edge AI-driven decision intelligence systems with high-impact outcomes.
• Remote or flexible working arrangements depending on organizational setup.
• Exposure to advanced AI research and cross-functional collaboration with product and engineering teams.
• Competitive compensation aligned with experience and skill level.
• Opportunity to directly influence the reliability and quality of enterprise-grade AI decision systems.
• Fast-paced, intellectually rigorous environment focused on learning and continuous improvement.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

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