Data Validator – AI/ML Systems

Department Icon Data Science Analytics & Machine Learning
Posted: 3 weeks ago
2-5 years
Mumbai, India | Bangalore, India
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 21 Nov 2026

Posted: 3 weeks ago
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Job Description

 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

    Skills

    Generative AIData ScienceExcelGoogle SheetsQARecruitmentCommunicationLeadershipTeams

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    About Company

    Prismforce provides modern SaaS products for tech and professional services companies to optimize their talent supply chain, utilization, and delivery.

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