Intern - Academic Operations

EDMO; Dadri; Hybrid; INR 111,600 - 133,920; Full time

Job summary

EDMO in Uttar Pradesh is seeking an Academic Operations Intern focused on validating and structuring data from academic documents using OCR technology. The candidate will ensure data accuracy and support evaluation processes.

This hybrid role involves working closely with AI teams and requires attention to detail, familiarity with academic documents, and capability in handling high-volume tasks.

Qualifications

• 0-1 year of experience in OCR processing, data verification, document processing, or back-office operations.
• Strong attention to detail and ability to identify errors in scanned or digitized documents.
• Ability to work in night shifts and handle high-volume processing tasks.

Responsibilities

• Review and validate OCR-extracted data from academic documents.
• Identify and correct OCR errors such as misreads or formatting issues.
• Collaborate with AI/Product teams to improve OCR accuracy.

Skills

Attention to detail

Data verification

Document processing

Familiarity with academic documents

Excel proficiency

Education

Bachelor’s or Master’s degree in any discipline

Tools

Excel

Google Sheets

Job description

Location

Noida (Hybrid, 6 days working)

Budget

10000 INR per month

Department

Document Intelligence – OCR Processing

Reports To

Head of Academic Operations

About Us

EDMO is an AI-powered company that provides enrollment-centric solutions to universities, colleges, and higher education institutions. By streamlining repetitive tasks—such as document verification, transcript evaluation, SOP/essay reviews, and applicant matching—EDMO enables its clients to process student applications faster and more accurately. Its intelligent workflows reduce administrative workload and empower admission advisors to focus on personalized guidance and student engagement. With features like AI-powered chatbots, Photo ID verification, GPA calculator, and transfer credit evaluation, EDMO ensures transparency and efficiency across the enrollment journey. Institutions using EDMO services report significant time savings, improved decision-making, and enhanced student satisfaction. At its core, EDMO is built to reimagine and streamline admissions—making them smarter, faster, and more human-centric.

About The Role

EDMO is looking for a detail-oriented Academic Operations Intern – OCR Process to support its AI-driven Document Intelligence platform. This role focuses on validating, and structuring data from academic documents (transcripts, mark sheets, certificates) extracted using OCR technology. The candidate will ensure high accuracy of extracted data, resolve discrepancies, and support downstream processes like transfer credit evaluation and admissions review.

Key Responsibilities

• Review and validate OCR-extracted data from academic documents such as transcripts, mark sheets, and certificates.
• Ensure accurate extraction of key fields including course names, grades, credits, course code, and institutional details.
• Identify and correct OCR errors such as misreads, formatting issues, or missing information.
• Perform manual data entry where OCR confidence is low or data is incomplete.
• Standardize extracted data into structured formats as per system requirements.
• Handle multiple document formats including scanned PDFs, images, and multi-page transcripts.
• Flag inconsistencies, illegible data, or document quality issues for further review.
• Collaborate with AI/Product teams to improve OCR accuracy and data extraction models.
• Maintain quality benchmarks, turnaround time (TAT), and audit logs for processed documents.
• Support downstream teams (TCE, admissions, evaluation teams) by ensuring clean and reliable data output.

Qualifications

• Bachelor’s or Master’s degree in any discipline (Education, Science, or related fields preferred).
• 0-1 year of experience in OCR processing, data verification, document processing, or back-office operations.
• Strong attention to detail and ability to identify errors in scanned or digitized documents.
• Familiarity with academic documents such as transcripts, mark sheets, and grading systems.
• Good understanding of data entry standards and quality control processes.
• Basic knowledge of tools like Excel, Google Sheets, or document management systems.
• Ability to work in night shifts and handle high-volume processing tasks.

Nice to Have

• Experience with OCR tools or platforms (e.g., Tesseract, ABBYY, or similar technologies).
• Exposure to EdTech workflows, admissions processing, or credential evaluation.
• Understanding of international grading systems or credit frameworks.
• Experience working with AI/ML-based document processing systems.