Education Data Research Intern

About Orbitly

Orbitly is an emerging global education technology platform designed to make international education easier to discover, understand, and navigate. Combining AI-powered recommendations, university and programme discovery, cost comparisons, and personalized guidance, Orbitly helps students explore educational opportunities across countries and make more informed decisions about their future. We are currently building our global university and academic programme database and are looking for a detail-oriented Education Data Research Intern to join us remotely.

The Role

As an Education Data Research Intern, you will help build and maintain Orbitly's university and programme database. You will research official university websites, education portals, and publicly available datasets to collect, organise, and validate information about universities and the programmes they offer. Your research will directly contribute to the information students use when discovering and comparing international study opportunities.

Key Responsibilities

• University and Programme Research

• Identify universities and higher education institutions across different countries.

• Research Bachelor's, Master's, MBA, postgraduate, and doctoral programmes.

• Collect programme names, qualification levels, subjects, and study locations.

• Identify official university and programme webpages.

• Explore publicly available government education datasets and university catalogues.

• Academic Information Collection

• Collect information such as:

• University and programme names.

• Country and city.

• Degree and qualification level.

• Subject and specialisation.

• Programme duration.

• Language of instruction.

• Available intakes.

• Study mode (full-time, part-time, or online), where specified.

• Admission and Financial Research

• Where information is available, collect:

• Tuition fees and applicable currency.

• Whether fees are annual, semester-based, or for the entire programme.

• Academic entry requirements.

• IELTS, TOEFL, and other English-language requirements.

• Scholarship opportunities.

• Application deadlines.

• Official application links.

• Estimated living costs from reliable sources.

• Data Organisation and Validation

• Maintain structured records using Excel or Google Sheets.

• Identify and remove duplicate programmes.

• Capture official source URLs for collected information.

• Record when information was collected or last checked.

• Flag missing, unclear, or outdated information.

• Maintain consistency across database fields.

Weekly Targets and Deliverables

We aim to build a substantial programme catalogue during this internship. Your expected weekly targets:

• Deliverable: New, unique programme records | Weekly target: 100
• Deliverable: Programmes with detailed information verified | Weekly target: 20–30
• Deliverable: Official source URLs captured | Weekly target: 100
• Deliverable: Duplicate records | Weekly target: Zero accepted
• Deliverable: Data quality review | All submitted records

The 100-record target focuses on structured programme discovery and core information collection. Detailed enrichment will focus on a selected 20–30 programmes each week. Targets may be adjusted during the initial training week based on data-source availability and research complexity. Quality matters more than simply filling rows. Information must be traceable to its source. Missing information must be marked as unavailable rather than guessed.

Qualifications

• Currently pursuing an undergraduate or postgraduate degree.
• Good internet research and information-gathering skills.
• Comfortable using Microsoft Excel or Google Sheets.
• Good written English and communication skills.
• Strong attention to detail and ability to organise information.
• Comfortable navigating international university websites.
• Self-motivated and able to work independently.

Previous work experience is not mandatory.

What You Will Gain

• Practical experience working with an international EdTech startup.
• Exposure to global higher education systems and university admission processes.
• Hands-on experience in structured data collection and research.
• Experience contributing to an actual AI-powered education platform.
• Opportunity to understand how education data supports recommendation systems.
• Internship completion certificate.
• Letter of recommendation based on performance and contribution.

Compensation and Duration

• Fixed stipend: ₹2,000 per month.
• Duration: 2 months.
• Part-time, remote arrangement.
• Flexible working hours, with weekly deliverables and progress updates.