We are looking for senior professors, academic leaders, researchers, and recognized domain experts to help design and validate assessments used to evaluate professionals and subject-matter experts across STEM and broader knowledge-worker domains.

The expert will bring deep academic and industry knowledge to ensure that assessments are technically rigorous, domain-relevant, unbiased, and capable of distinguishing genuine expertise from superficial knowledge or AI-assisted responses.

The role will involve working with our Talent/Assessment team to establish domain competency frameworks, assessment blueprints, questions, scoring rubrics and validation standards.

Key Responsibilities
1. Domain Competency Framework
Define the core competencies and knowledge areas required for different levels of expertise within the domain.
Identify the difference between basic knowledge, working proficiency, advanced expertise and specialist-level capability.
Recommend what a qualified qualified should be able to know, analyze, solve, interpret and apply.
2. Assessment Design




Design and/or review assessments for domain-specialized resources.
Develop questions covering:
Fundamental concepts
Applied knowledge
Analytical reasoning
Problem-solving
Case-based scenarios
Domain judgment
Interpretation of data/results
Practical application
Recommend the appropriate balance of MCQs, scenario-based questions, case studies, open-ended questions and practical assessments.
3. Assessment Validation
Review assessments developed by internal assessment teams.
Validate technical accuracy, relevance, difficulty and ambiguity.
Ensure questions genuinely test domain capability rather than memorization.
Identify questions that can be answered through generic AI-generated responses without demonstrating real expertise.
4. Scoring & Evaluation Framework
Develop answer keys, scoring rubrics and evaluation criteria.
Establish benchmarks for different proficiency levels.
Define what constitutes:
Pass / Fail

📌 Academic Advisor (India)
🏢 Innodata
📍 India