AI Prompt Engineer, Trust Review Operations

Job Location:

Dublin - Ireland

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

This role will be based in Dublin Ireland.

At LinkedIn our approach to flexible work is centered on trust and optimised for culture connection clarity and the evolving needs of our business. The work location of this role is hybrid meaning it will be performed both from home and from a LinkedIn office on select days as determined by the business needs of the team.

LinkedIn was built to help professionals achieve more in their careers andeverydaymillions of people use our products to make connections discover opportunities and gain insights. Our global reach means we get tomakea direct impact on the worlds workforce in ways no other company can. Were much more than a digital resume we transform lives through innovative products and technology.

Searching for your dream job At LinkedIn we strive to help our employees find passion and purpose. Join us in changing the way the world works.

LinkedIns Trust Review Operations team protects our global community by ensuring AIdriven moderation systems are safe accurate and reliable. As an AI Prompt Engineer you will design test and refine prompts and workflows that assist in content moderation improve detection quality and support reviewer decisionmaking.

This role is ideal for someone who enjoys handson experimentation analyzing model behaviour and partnering with Policy Engineering and Data Science to improve safety outcomes.

What Youll Do:

Prompt Design Testing & Optimization

Design and refine prompts for classification risk detection case summarization and reviewer support.
Run prompt experiments to diagnose issues such as hallucinations misclassifications bias or inconsistent behaviour.
Help maintain evaluation frameworks for accuracy safety and reliability.

AI Case Support & Risk Mitigation

Support AIassisted workflows in resolving medium and highrisk cases.
Identify model errors document patterns and recommend improvements to reduce operational risk.
Contribute to operational guardrails and escalation criteria for AI behaviour.

Incident Management & Quality Monitoring

Flag AI output issues (e.g. inconsistent decisions lowconfidence outcomes override trends).
Participate in incident reviews and help document rootcause insights.

Policy & Regulatory Alignment

Ensure AI outputs align with platform policies MDSS and relevant regulations (e.g. DSA).
Work with Policy teams to translate reviewer feedback into clearer prompts and rules.

Feedback Integration & Model Improvement

Collect feedback from reviewers policy partners and operational teams to refine prompts.
Translate qualitative insights into structured requirements for Engineering and Data Science.

Data Analysis & Experimentation

Analyze prompt and model performance using SQL or dashboards.
Track trends such as classifier drift emerging abuse patterns or changes in harmful content.
Contribute databacked insights that inform roadmap and workflow updates.

Qualifications :

Basic Qualifications

Bachelors degree in Data Science AI/ML Engineering Policy or related field (or equivalent experience).
2 years of experience in Trust & Safety content moderation AI operations quality or policy.
1 years experience designing or testing prompts or working with LLMs / classification models.
2 years experience using data tools (e.g. SQL Python) to evaluate model and prompt performance.

Preferred Qualifications

Understanding of Trust & Safety policies global regulations (e.g. DSA) and safety standards.
Ability to analyze model outputs and identify patterns gaps and risks.
Strong written communication skills for writing clear reproducible prompt instructions.
Familiarity with evaluation metrics (precision recall FPR FDR) and model quality testing.
Experience collaborating with Product Engineering Policy or Data Science teams.
Exposure to humanintheloop workflows generative AI systems or safetycentric model evaluation.

Suggested skills:

Analytical Thinking
Data Interpretation
Problem Solving & Technical Curiosity
Collaboration & Stakeholder Support
Quality & Detail Orientation

Additional Information :

Global Data Privacy Notice for Job Candidates

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Work :

Employment Type :

Full-time

This role will be based in Dublin Ireland.At LinkedIn our approach to flexible work is centered on trust and optimised for culture connection clarity and the evolving needs of our business. The work location of this role is hybrid meaning it will be performed both from home and from a LinkedIn offic...