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StarRez

Senior Quality Engineer - AI

StarRez · Australia

Posted about 3 months ago

or apply directly on StarRez's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
StarRez's roles stay open a median of 68 days
Reposted
No
Salary listed
No
0% of StarRez's roles list one
Ghost-job risk at StarRez
high
23 stale, 2 reposted of 25 open
Hiring momentum
35 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from StarRez's own greenhouse board since 2026-08-03. Full hiring picture for StarRez.

About this role

The Senior Quality Engineer - AI at StarRez will focus on enhancing the quality of AI-powered product experiences. This role involves leading quality evaluation strategies, mentoring peers, and collaborating with engineering and product teams to establish quality standards and improve AI outputs. The engineer will also utilize metrics and feedback to support product improvements and ensure release readiness.

Our read on this posting2.6out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of StarRez as an employer.

What you need

  • Quality Assurance or Quality Engineering experience in a SaaS B2B or B2B2C company
  • Proven track record as a senior individual contributor with a strong quality mindset
  • Excellent technical communication and collaboration skills
  • Data-driven approach to quality management
  • Hands-on technical comfort with test automation, evaluation tooling, observability, or scripting

Nice to have

  • Experience with LLM evaluation pipelines, automated eval tooling, LLM judges, or agent observability platforms
  • Background in traditional QA or quality engineering in AI-augmented workflows
  • Familiarity with safety, bias, and compliance evaluation for AI systems
  • Experience in SaaS or enterprise software environments, ideally with exposure to student housing or property management
  • Exposure to production monitoring of AI systems, including drift detection and post-release quality tracking

What you get

  • Vibrant and supportive culture with weekly team lunches
  • Flexible and hybrid workplace
  • Access to professional development opportunities
  • Participation in monthly global meetings with team members in different countries
  • Commitment to a diverse workforce and a safe environment for all employees

Worth weighing

  • No salary listed
  • Candidates must have full work rights in Australia
  • Role involves balancing hands-on work with mentoring and influencing others
  • Focus on AI quality evaluation may require specific domain knowledge

Summarised from StarRez's posting. Read the full original.

Listed by StarRez on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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