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Master Thesis Worker – Automated Quality Evaluation
Scania Group. Investigate methods for automated evaluation of AI-generated responses .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in automated evaluation methods for AI-generated responses, with strong analytical skills to assess conversation logs and pipeline traces. Capable of developing prototypes that identify quality issues and validate findings through expert collaboration.
Highest-signal resume keywords
Automated Evaluation MethodsConversation Log AnalysisPrototype DevelopmentQuality Improvement AssessmentMaster's Degree in Relevant Field
ATS Keywords
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Industry Keywords
Artificial IntelligenceData ScienceSoftware EngineeringEngineering PhysicsQuality IssuesEvidence-Backed ActionsDocumentation GapsPipeline TracesOn-Site WorkThesis Duration
About the role
Key responsibilities & impact- Investigate methods for automated evaluation of AI-generated responses
- Analyse conversation logs and available pipeline traces
- Develop a prototype that identifies recurring quality issues and proposes evidence-backed actions
- Validate findings with experts
- Assess whether selected recommendations improve response quality
- Distinguish documentation gaps from retrieval and agent-pipeline issues to support targeted improvements
Requirements
What you’ll need- Master’s student in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Engineering Physics or a related field
- Application must include a CV, personal letter and transcript of grades
- A background check might be conducted
- Ability to work on-site in Södertälje, Sweden
- Estimated thesis duration of 6 months
Benefits
Comp & perks- Thesis work as an opportunity to build relationships with Scania and potential future employment
- 0-25% required travel