Academic Advisor

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.

As an Academic Advisor, you may have the opportunity to:

• Provide expert guidance and domain knowledge for AI and data-related projects.
• Review and evaluate specialized academic or technical content.
• Help establish quality standards, methodologies, and evaluation criteria.
• Provide insights on emerging research, industry developments, and academic best practices.
• Collaborate with our project teams and other subject-matter experts on specialized initiatives.
• Contribute on a flexible or project-based basis, depending on project requirements and your availability.

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