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Data Validator – AI/ML Systems
Prismforce Private Limited · Mumbai, India · Bengaluru, India
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Job Title: Data Validator – AI/ML Systems Location: [Location / Remote] Type: Full-time Experience Level: 1–5 years Team: Data Science Quality / AI Quality 🧭 About the Role We are looking for detail-oriented and analytically strong professionals to join our Data Validation (DV) team , responsible for ensuring the accuracy and reliability of data that powers a wide range of AI/ML-based features in our platform. As a Data Validator, you will be a core part of the human-in-the-loop process that reviews and evaluates AI-generated data, model outputs, and system-generated relationships to maintain high-quality standards across our products. 🔧 What You’ll Do Review AI-generated content for accuracy, consistency, completeness, and clarity Validate relationships, classifications, and recommendations produced by automated systems Compare outputs from different models and provide structured qualitative feedback Identify and log errors, inconsistencies, or hallucinations in data or AI responses Collaborate with data science and product teams to refine validation workflows Use internal tools or dashboards to track validations, feedback, and patterns over time Contribute to the development of SOPs, guidelines, and quality benchmarks 🧠 What We’re Looking For 1–5 years of experience in data QA, content validation, annotation, or ML evaluation Strong attention to detail and ability to identify semantic or factual inaccuracies Clear written communication for documentation and feedback reporting Comfortable working with structured and unstructured data Familiarity with working alongside data science, product, or engineering teams Bonus: Experience in domains like recruitment, HRTech, skills data, or classification systems 💡 Nice to Have Exposure to LLMs (e.g., ChatGPT, Claude) or evaluation of generative AI outputs Prior experience with content curation, annotation tools, or ontology/tagging projects Comfort with basic tools like Excel, Google Sheets, Airtable, or QA dashboards ✅ Why Join Us Work on cutting-edge AI systems with direct business impact Be part of a fast-growing team that blends human insight with ML automation Gain exposure to real-world applications of data quality and AI evaluation Opportunities for growth into QA leadership, prompt validation, or ML feedback ops