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RemoteListed Jul 14, 2026

AI Quality Analyst

Shyft6

  • AI-Data-Quality-Analyst
  • AI-Evaluation
  • AI-QA-Analyst
  • AI-Quality-Analysis
  • AI-Quality-Analyst
  • AI-Quality-Assurance-Analyst
  • AI-Quality-Assurance-Specialist
  • AI-Quality-Specialist
  • AI-Research
  • AI-Validation
  • Data-Analysis
  • Developer
  • Quality-Assurance
  • Software-Testing

Assessed from original listing evidence

The role

Job description

This is a remote position.

AI Quality Analyst

Reporting to Manager, Quality Engineering & AI Validation, focuses on validating the quality of AI-generated outputs, agent behaviors, and AI-assisted workflows. Builds benchmark scenarios, defines scoring rubrics, evaluates business usefulness, and identifies failure patterns that conventional pass or fail software testing would not catch.

Key Responsibilities

AI Output Evaluation

  • Design and execute structured evaluations for AI-enabled features and workflows.
  • Assess outputs for groundedness, instruction adherence, consistency, usefulness, tone, control compliance, and risk.
  • Identify hallucinations, unsupported assertions, missing logic, and unsafe recommendations.

Benchmark & Rubric Development

  • Build and maintain golden datasets, benchmark prompts, comparison sets, and scorecards.
  • Develop rubrics that allow quality to be measured consistently across releases and changes.

Workflow & Model Change Validation

  • Compare performance across prompt versions, workflow revisions, tools, and models.
  • Support release decisions with evidence on quality regression or improvement.

Business & Domain Partnership

  • Work closely with Finance SMEs, product managers, and engineers to determine what acceptable looks like in real business contexts.
  • Help define human-review thresholds and escalation patterns for higher-risk use cases.

Production Feedback

  • Analyze reviewer feedback, override patterns, and live quality signals to improve evaluation coverage over time.

Requirements

Required Qualifications
  • 4+ years of experience in QA, analytics, business process validation, AI evaluation, operations, or similar roles.
  • Strong writing, analysis, and pattern-recognition skills.
  • Experience evaluating outputs against nuanced criteria rather than only binary correctness.
  • Ability to work with structured rubrics, scenario libraries, and evidence-based reviews.
  • Comfort collaborating across Engineering and business teams.
  • Experience with finance, accounting, FP&A, transaction services, or business process design preferred.

·Bachelor's degree preferred.

You Are
  • Thoughtful, precise, and highly discerning.
  • Strong at spotting subtle output problems others miss.
  • Comfortable with ambiguity but disciplined in scoring and documentation.
  • Focused on trust, usefulness, and business reality.

Benefits

Salary plus performance-based [link removed] compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, education, certifications, cost of labor, and internal equity.

Originally posted on Himalayas

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