AI Quality Analyst

Location- Remote

Experience: 3+ Years

About the Role

We are looking for a detail-oriented and analytical AI Quality Analyst 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.