[Hiring] AI Implementation Quality Analyst @Granicus
AI Implementation Quality Analyst @Granicus
Artificial Intelligence
Salary usd 80,000 - 10..
Employment Type full-time
Posted 2d ago

[Hiring] AI Implementation Quality Analyst @Granicus

2d ago - Granicus is hiring a remote AI Implementation Quality Analyst. 💸 Salary: usd 80,000 - 105,700 per year 📍Location: Northern America, Europe, Asia, Oceania

Role Description

The AI Quality & Evaluation Analyst is responsible for assessing the quality, correctness, completeness, and safety of AI‑generated responses across defined use cases. This role combines hands‑on human review with structured, rubric‑based evaluation incorporating automation to ensure AI systems meet documented standards before customer implementations go live.

As part of the implementation team, this role is client-facing and serves as a bridge between client expectations and system behavior, translating real-world use cases, domain context, and risk tolerance into measurable evaluation criteria and actionable feedback for product and engineering teams.

The role focuses on what the AI says and does, not on model training or infrastructure performance. The analyst serves as a human quality gate, ensuring outputs are accurate, appropriate for the audience, and aligned with policy and governance requirements.

This role works closely with product and domain experts to translate real-world expectations into measurable evaluation criteria and repeatable test artifacts.

What Your Impact Will Look Like

  • 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

Qualifications

  • 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

Requirements

  • AI responses consistently meet defined standards for accuracy, completeness, and safety in real client use cases
  • Evaluation results are reproducible and trusted across teams and with clients
  • Client requirements and risk tolerances are clearly translated into evaluation criteria and test coverage
  • Quality issues are identified early, clearly documented, and actionable
  • Test coverage expands over time to reflect real user behavior and risk
  • Stakeholders can confidently use evaluation outputs to make release and governance decisions

Benefits

  • 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.
Before You Apply
remote Be aware of the location restriction for this remote position: Northern America, Europe, Asia, Oceania
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
AI Implementation Quality Analyst @Granicus
Artificial Intelligence
Salary usd 80,000 - 10..
Employment Type full-time
Posted 2d ago
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remote Be aware of the location restriction for this remote position: Northern America, Europe, Asia, Oceania
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply
Applied
Sent Follow-Up
Interview Scheduled
Interview Completed
Offer Accepted
Offer Declined
Application Denied
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