ABOUT THE JOB

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 professional 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
Basic competency
Intermediate competency
Advanced competency
Expert-level competency
Provide guidance for evaluating subjective/open-ended responses.

Domains

STEM

Computer Science & Software Engineering
Data Science & AI/ML
Mathematics & Statistics
Physics
Chemistry
Biology & Life Sciences
Engineering – Mechanical, Electrical, Civil, Chemical, etc.
Environmental Sciences
Biotechnology
Materials Science

Other Knowledge Domains

Economics
Finance & Accounting
Business & Management
Law
Psychology
Sociology
Education
Research & Academia
Healthcare-related knowledge domains
Linguistics
Communications
Supply Chain & Operations
Marketing
Other specialized professional domains

Ideal Candidate Profile

We are looking for individuals who have deep credibility within their discipline, such as:

Professors from leading universities
Associate/Assistant Professors with strong domain expertise
Distinguished researchers
Academic department heads
Industry-academia experts
Principal Scientists / Chief Scientists
Published researchers and recognized subject-matter experts

Preferred Credentials

PhD or equivalent advanced qualification in the relevant discipline
10+ years of domain experience preferred
Strong academic/research credentials
Publications, patents, research or recognized contributions in the field
Experience designing examinations, assessments, curriculum or certification programs is highly desirable
Experience evaluating professionals, students, researchers or technical experts is a strong advantage

Academic Advisor