Academic Advisor

Innodata Inc.; Delhi; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Innodata Inc. seeks senior professors, academic leaders, researchers, and recognized domain experts to help design and validate assessments across STEM and related domains, ensuring rigor, relevance, and unbiased evaluation of true expertise.

The ideal candidate will have a PhD and 10+ years of domain experience, with proven ability to design examinations, curricula, or certification programs. Publications and recognized contributions are valued.

Qualifications

• Professors from leading universities.
• 10+ years of domain experience preferred.
• Experience designing examinations, assessments, curriculum or certification programs is highly desirable.

Responsibilities

• Define core competencies and knowledge areas for different expertise levels.
• Design and review assessments for domain-specialized resources.
• Validate technical accuracy, relevance, difficulty and ambiguity.
• Develop scoring rubrics and evaluation criteria with benchmarks.

Skills

Domain expertise

Academic leadership

Assessment design

Validation

Scoring rubrics

Education

PhD or equivalent in relevant discipline

Job description

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.
• Applied knowledge
• Analytical reasoning
• Problem-solving
• 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
• Provide guidance for evaluating subjective/open-ended responses.

Domains

STEM

• Computer Science & Software Engineering
• Data Science & AI/ML
• Mathematics & Statistics
• Physics
• Biotechnology

Other Knowledge Domains

• Economics
• Finance & Accounting
• Business & Management
• Law
• Education
• Research & Academia
• Healthcare-related knowledge domains
• 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
• Academic department heads
• 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