AI Quality Analyst

Location- Remote Experience: 3+ Years About the Rol e We are looking for a detail-oriented and analytical AI Quality Analys t to evaluate, monitor, and improve the quality of AI-generated outputs across various AI and Generative AI applications. The ideal candidate will have experience in quality assurance, content evaluation, AI model assessment, or operational quality processes. You will play a critical role in ensuring AI systems deliver accurate, relevant, safe, and high-quality responses while helping improve overall model performance through structured feedback and evaluation.

Key Responsibilities AI Output Evaluation Review and evaluate AI-generated responses for accuracy, relevance, completeness, and consistency. Assess outputs generated by Large Language Models (LLMs), chatbots, virtual assistants, and AI-powered applications. Identify factual inaccuracies, hallucinations, bias, safety concerns, and instruction-following issues.

Compare outputs across different AI models and recommend improvements. Quality Assurance & Testing Conduct manual and systematic testing of AI systems across various use cases. Execute quality audits and maintain evaluation standards.

Develop and follow evaluation guidelines, scorecards, and quality frameworks. Perform regression testing to ensure model improvements do not negatively impact existing performance. AI Performance Analysis Analyze trends, recurring issues, and quality gaps in AI outputs.

Generate actionable insights to improve AI response quality. Track and report key quality metrics and performance indicators. Support benchmarking and model comparison initiatives.

Feedback & Improvement Provide structured feedback to AI training, product, and engineering teams. Document quality issues and recommend corrective actions. Assist in prompt optimization and response improvement strategies.

Contribute to AI model evaluation and continuous improvement programs. Data Review & Validation Review training data, evaluation datasets, and human feedback annotations. Validate data quality and ensure compliance with established standards.

Identify inconsistencies in datasets that may impact AI performance. Support AI quality calibration exercises and review sessions. Documentation & Reporting Create detailed evaluation reports and quality summaries.

Maintain documentation of testing procedures, findings, and recommendations. Present quality insights to stakeholders and project teams. Assist in defining quality benchmarks and acceptance criteria.

Required Skills & Qualifications Must Have 3+ years of experience in Quality Assurance, AI Evaluation, Content Review, Data Quality, Operations Quality, or related fields. Strong understanding of Generative AI, Large Language Models (LLMs), and AI-powered applications. Experience evaluating content for quality, accuracy, compliance, and consistency.

Excellent analytical and critical thinking skills. Strong written and verbal communication skills. Ability to identify patterns, trends, and quality issues.

Experience working in remote and cross-functional environments. Good to Have Experience with AI evaluation, prompt engineering, RLHF (Reinforcement Learning from Human Feedback), or AI training workflows. Familiarity with AI tools such as ChatGPT, Claude, and Gemini.

Knowledge of content moderation, trust & safety, or policy evaluation processes. Experience with Excel, Google Sheets, SQL, or data analysis tools. Understanding of AI testing methodologies and quality frameworks.

Preferred Candidates Exceptional attention to detail. Strong problem-solving and decision-making abilities. Passion for AI and emerging technologies.

Ability to work independently with minimal supervision. Process-driven mindset with a commitment to quality. Comfortable handling large volumes of evaluations while maintaining accuracy.