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

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

🔧 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

Data Validator – AI/ML Systems

What we know about this role

Skills required

Job description

Job Title: Data Validator – AI/ML Systems

🧭 About the Role

🔧 What You’ll Do

🧠 What We’re Looking For

💡 Nice to Have

✅ Why Join Us

Tools to land this role

Ground Reality

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Insider Path

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Data Validator – AI/ML Systems

What we know about this role

Skills required

Job description

Job Title: Data Validator – AI/ML Systems

🧭 About the Role

🔧 What You’ll Do

🧠 What We’re Looking For

💡 Nice to Have

✅ Why Join Us

Tools to land this role

Ground Reality

Spot the dealbreakers in this 329-word post before you apply

Insider Path

Find someone who can refer you here

Get tomorrow's jobs before you have to search

Someone shared one job with you. ASAI keeps finding the rest.