AI Recommendation Evaluator

August 30, 2026

Login Required

You need to be logged in as a Candidate to apply for this job. Please login or create a free account to continue.

After logging in, come back to this job and click Apply Now to submit your application.

Job Description

The AI Recommendation Evaluator is responsible for assessing the relevance, accuracy, and usefulness of recommendations generated by artificial intelligence systems. The position focuses on evaluating automated suggestions presented to users across digital platforms, including product recommendations, entertainment suggestions, online services, search recommendations, and personalised content feeds.

The evaluator will examine AI-generated recommendations to determine whether suggested items are appropriate, relevant, diverse, and consistent with the intended recommendation context. The role involves identifying unsuitable recommendations, evaluating the relationship between user interests and suggested content, and assessing whether recommendation systems deliver meaningful results.

The successful candidate will work with AI development and product teams to identify recommendation weaknesses, improve personalisation quality, and support the development of more effective recommendation algorithms.

Key Responsibilities:

Review recommendations generated by AI-powered platforms.
Evaluate the relevance of suggested products, services, and digital content.
Assess whether recommendations align with the intended user context.
Identify irrelevant, repetitive, outdated, or unsuitable suggestions.
Evaluate recommendation diversity and consistency.
Compare alternative recommendations based on usefulness and relevance.
Examine recommendation results across different user scenarios.
Identify potential personalisation errors and recommendation inconsistencies.
Provide feedback to improve AI recommendation systems.
Prepare structured reports on recommendation quality and performance.
Qualifications and Requirements:

Bachelor’s degree in Computer Science, Data Science, Statistics, Marketing, or a related discipline.
Experience in digital product evaluation, data analysis, or AI quality assurance.
Understanding of recommendation systems and personalisation technologies.
Strong analytical and critical thinking abilities.
Excellent attention to detail.
Familiarity with digital platforms and AI-driven content recommendations.