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Granicus

AI Implementation Quality Analyst

Granicus

AI Quality & Evaluation Analyst responsible for ensuring AI-generated responses meet quality standards at Granicus. Partnering with clients and teams to align expectations and evaluate outputs effectively.

Posted 6/11/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $80,000 - $105,700 per yearWebsite

About the role

Key responsibilities & impact
  • Partner directly with clients during implementation to understand use cases, success criteria, and risk tolerance
  • Translate client requirements into evaluation frameworks, prompt strategies, and test coverage
  • Act as the quality liaison between client, product, and engineering to ensure alignment pre- and post-launch
  • Review and score AI responses using standard rubrics
  • Validate against sources/ground truth; flag hallucinations, omissions, and other risks
  • Document findings and calibrate with peers to keep scoring consistent
  • Build and maintain prompt banks and golden sets (expected results)
  • Expand coverage for edge cases, high-risk scenarios, and real user language
  • Track regression/drift and feed dashboards and quality reports
  • Triage internal and client feedback; synthesize themes across deployments
  • Identify systemic risks and escalate high-impact findings with clear, client-relevant context
  • Partner with product/engineering to validate and verify fixes, ensuring alignment with client expectations

Requirements

What you’ll need
  • Strong analytical judgment and attention to detail
  • Excellent written communication skills, including the ability to explain reasoning clearly
  • Experience reviewing, auditing, or evaluating structured outputs such as content, decisions, or recommendations
  • Comfort applying detailed guidelines and rubrics consistently at scale
  • Familiarity with large language models and common failure modes such as hallucinations, overgeneralization, or unsafe responses
  • Ability to work in spreadsheets, evaluation tools, or annotation platforms
  • Experience with AI evaluation, data annotation, QA, trust and safety, or policy review
  • Exposure to human-in-the-loop workflows, or benchmarking processes
  • Domain expertise in a regulated or high-risk field such as government, education, healthcare, or legal services
  • Experience contributing to test suites, evaluation dashboards, or quality reporting
  • Comfort working cross-functionally with product and engineering teams
  • Experience in client-facing roles such as implementation, consulting, or solution delivery in a SaaS or regulated environment
  • Ability to translate between business/user needs and technical system behavior.

Benefits

Comp & perks
  • Flexible Time Off – Take the time you need to rest, recharge, and live your life.
  • Company-Wide Wellbeing Days – Paid days off to unplug and focus on your mental health.
  • Work From Home Reimbursement – Support a productive home office environment.
  • Multiple Health Plan Options – Including a 100% employer-paid plan.
  • Employer HSA Contributions – When enrolled in a High-Deductible Health Plan.
  • Fitness Reimbursement Program – Stay active, your way.
  • On-Demand Mental Health Support – Access to Headspace and other wellness tools.
  • Paid Parental Leave – For both birthing and non-birthing parents.
  • Traditional & Roth 401(k) – With a generous company match.
  • Life & AD&D Insurance – 100% employer-paid coverage for peace of mind.
  • Online Learning Platforms – Fuel your professional development.
  • Competitive Salary & Bonuses – Your contributions are valued and rewarded.

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Hard Skills & Tools
AI evaluationdata annotationquality assurancetest suitesevaluation dashboardsrubricsspreadsheetsevaluation toolsannotation platformshuman-in-the-loop workflows
Soft Skills
analytical judgmentattention to detailwritten communicationclient-facingcross-functional collaborationsynthesizing themesrisk identificationproblem-solvingdocumentationfeedback triage