AI Evaluation & Quality Tester

Hiberus

Wrocław

Hybrid

PLN 75,000 - 110,000

Full time

45 hours ago
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Job summary

Hiberus in Poland is seeking an AI Tester / AI Evaluation Engineer to assess the quality and stability of AI, ML and GenAI solutions across diverse environments.

You will design test scenarios, create reference data, and evaluate model outputs for accuracy, completeness, and security while ensuring usability and compliance with requirements. Collaboration with AI engineers and security teams will be essential throughout solution acceptance.

Qualifications

  • Minimum 3 years of experience in software testing or data-driven solutions.
  • Knowledge of test case design and defect reporting.
  • Basic understanding of ML or LLM models and non-deterministic systems testing.
  • Ability to design test suites for evaluating model output quality.
  • SQL and API testing experience with Postman.
  • Ability to assess accuracy, completeness, source consistency, security and usability.

Responsibilities

  • Prepare test scenarios for AI/ML/GenAI solutions.
  • Design question sets, edge cases, and reference data for model evaluation.
  • Test the quality of model outputs and stability of AI system behaviour.
  • Perform regression testing after changes to the model, prompts, source data or configuration.
  • Report defects, anomalies and quality-related risks.
  • Collaborate with AI Engineers, analysts, business and security teams during solution acceptance.
  • Document test results and prepare recommendations regarding AI system quality.

Skills

Software testing
Test case design
API testing
SQL
ML/LLM basics
Defect reporting
Non-deterministic testing

Tools

Postman
API testing tools

Job description

Hiberus in Poland is seeking an AI Tester / AI Evaluation Engineer to assess the quality and stability of AI, ML and GenAI solutions across diverse environments.

You will design test scenarios, create reference data, and evaluate model outputs for accuracy, completeness, and security while ensuring usability and compliance with requirements. Collaboration with AI engineers and security teams will be essential throughout solution acceptance.

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