Assessment Research Intern

Location: Bengaluru

Assessment Research Intern

Company:  Career Maker.ai

Location:

Bengaluru, Karnataka, India — On-site
Department :
Product / Assessment Research
Internship Type:  Full-time / Part-time

Experience:

0–1 years
Industry:  Education / Ed Tech

About Career Maker.ai

Career Maker.ai is revolutionizing the journey from education to employment by bridging the gap between academic learning and real-world job readiness.

Our mission is to make employability measurable, personalized, and actionable, helping students understand where they stand and what they need to do to become job-ready.

About the Role
We are looking for a highly detail-oriented Assessment Research Intern to support the research and development of our AI-powered Assessment platform.

This role is primarily focused on researching, analysing, and systematically mapping assessment methodologies, question frameworks, evaluation models, and skill measurement approaches across different types of assessments.

You will research how aptitude, technical, domain, behavioural, and other skill-based assessments are designed and evaluated. You will study question structures, difficulty levels, skill mapping, scoring approaches, assessment patterns, and evaluation methodologies, and convert your findings into structured research frameworks and datasets.

Your work will directly contribute to the research foundation behind Career Maker.ai's Assessment AI, helping the product generate high-quality, relevant, and well-structured assessments.

You will work closely with the Product and Assessment teams to translate research findings into structured requirements, frameworks, taxonomies, and knowledge systems for the AI platform.

This role is ideal for someone who genuinely enjoys deep research, reading, analysing information, identifying patterns, comparing methodologies, and converting complex information into structured knowledge.

Key Responsibilities

-Research different types of assessments used for aptitude, technical, domain, behavioural, cognitive, and other skill-based evaluations.

-Study established assessment frameworks, testing methodologies, question formats, evaluation models, and scoring approaches.

-Research how assessment questions are designed, structured, categorised, calibrated, and evaluated.

-Identify and document different question types, question structures, response formats, and assessment patterns.

-Analyse assessment platforms, test repositories, question banks, academic resources, research papers, and other credible sources.

-Compare assessment methodologies across different platforms, domains, and use cases.

-Categorise questions based on skill, topic, sub-topic, difficulty, cognitive level, question type, response type, and other relevant dimensions.

-Identify patterns and common frameworks across large sets of assessment questions.

-Research how difficulty levels are defined, measured, and maintained across different assessments.

-Study how different assessments measure specific skills, competencies, and knowledge areas.

-Build and maintain structured databases, taxonomies, research documents, and assessment frameworks.

-Convert unstructured research findings into structured and machine-readable information that can support AI systems.

-Identify gaps, inconsistencies, ambiguities, and opportunities for improvement in existing assessment methodologies.

-Review research and documentation for accuracy, consistency, completeness, and logical organisation.

Work with the Product and Assessment teams to translate research findings into requirements for the Assessment AI.

-Continuously update research frameworks and documentation as new assessment methodologies, question formats, and evaluation approaches are identified.

What We're Looking For

-Strong research and…