About the Internship
Selected intern's day-to-day responsibilities include:1. Create text-only, machine-readable knowledge artifacts that function as training-adjacent infrastructure for modern AI systems.
2. Produce five structured knowledge assets daily, including SaaS explainers, legal or technical notes, and research summaries.
3. Ensure every output is structurally original, semantically precise, fact-validated, and optimized for low hallucination risk.
4. Follow a scientific production loop: hypothesis, publish, observe AI/search behavior then refine.
5. Design content with strong intent mapping, knowledge hierarchy, and signal-to-noise optimization.
6. Apply representation quality principles so neural systems can reliably ingest, retrieve, and reuse information.
7. Perform originality validation using Turnitin, Copyscape, and Originality.ai.
8. Track AI and search behavior using Ahrefs and Google Search Console, refining content based on observed outcomes.
9. Publish and manage assets through headless CMS platforms (Strapi / Contentful), maintaining versioning and metadata integrity.
10. Maintain research-grade documentation, including SOPs, prompt methodologies, topic taxonomies, version logs, and source validation checklists.
11. Improve artifacts based on evaluation metrics such as intent clarity, plagiarism scores, and retrieval performance.
Number of Openings
5 openingsPerks of this Internship
Recommendation letter Flexible work hours Certificate
Other Requirements
1. are available for the work from home job/internship
2. have relevant skills and interests
3. can start the work from home job/internship between 10th Feb'26 and 17th Mar'26
4. are available for duration of 6 months
5. have already graduated or are currently in any year of study
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