Role Description Corvi Technologies is building an AI-powered job matching platform for OPT, H-1B, and international job seekers in the USA — and we're currently developing a Chrome Extension that automates job discovery across top career portals. As a Data & Product Research Intern, you'll be a core part of this build. You'll navigate real-world job sites, validate how our extension behaves, and help us turn raw data into clean, structured insights. This is hands-on, meaningful work — not coffee runs or formatting decks. - Visit designated careers portals (Apple, Google, Microsoft, Amazon, and 20+ others) and systematically browse and interact with job listings as per a daily checklist. - Test Corvi's Chrome Extension in real-time — click through job listings, trigger extension actions, and observe how it captures and processes job data. - Log findings in structured Google Sheets — job title, location, posting date, URL, category, and any anomalies observed. - Report bugs, UI issues, or unexpected extension behaviour with clear steps to reproduce — no coding required, just clear observation. - Organize and clean collected job data: remove duplicates, standardize formats, and flag inconsistencies. - Compile brief weekly summaries of data patterns — which portals have the most OPT-friendly listings, trending roles, location clusters, etc. - Suggest improvements to the data collection checklist and testing workflows based on what you encounter daily. Qualifications - Currently pursuing a Bachelor's degree (3rd year preferred) in any stream — Engineering, BBA, BCA, B.Com, Statistics, or related fields are all welcome. - Detail-oriented and methodical — you notice when something looks off and you document it clearly. - Comfortable spending focused time browsing multiple websites and logging data systematically. - Basic familiarity with Google Sheets or Excel — if you know VLOOKUP or basic filters, you're ahead of the curve. - Reliable internet connection and a laptop with Chrome browser installed. - Good written English — your bug reports and data notes need to be clear and concise. - Curiosity about how tech products are built and how data powers decisions. Benefits - Work on a live product used by real users — not a mock project or case study. - Get a performance-based Letter of Recommendation from the founding team. - Flexible 4-hour schedule — fits perfectly around your college timetable. - Top performers may be offered a pre-placement or extended role post-graduation. - Direct exposure to a US-market SaaS startup — a strong resume differentiator.

• Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends. • Design and build modern data-centric software applications to support clinical and operational processes across all parts of the healthcare system. • Work closely with the Product, Platform, and Architecture teams to deliver on joint efforts. • Build data pipelines and transformations, data enrichment processes, provisioning layers, and user interfaces to meet the requirements of key initiatives. • Mentor and assist less experienced Data Engineers and participate in research and development of new technologies to help set up repeatable processes or templates for other Data Engineers to follow.

• As a Senior Data Engineer at YLD, you'll be part of a client team building innovative products. • We’re looking for someone curious, passionate, driven, and enthusiastic. • You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. • You’re also an effective communicator and a strong team player. • Together with your team, you’ll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects.

Role Description Kendago is looking for a Remote Data Operation Specialist to join our team. The ideal candidate will possess strong abilities in order and organization, with a keen attention to detail. This is an excellent opportunity to contribute to our organization's data management and ensure accuracy and efficiency. The day-to-day in this role combines operational and analytical work around data and campaigns. As part of the role, you will: - Work closely with Campaign Managers. - Pull data from various systems. - Create daily and weekly Excel reports. - Perform data checks and cross-referencing within large datasets. - Ensure that the data is accurate, accessible, and clearly presented to support decision-making. - Present data to Campaign Managers and Team Leads in the Media Department. - Identify anomalies or gaps in the data. This role is a great fit for someone who enjoys working with numbers, Excel, and data, pays strong attention to detail, stays organized and accurate, and can respond quickly to needs that come up in the day-to-day work. Qualifications - B.A. in analytical fields. - Proven experience in data entry or a similar administrative role. - Exceptional organizational skills, with the ability to prioritize tasks effectively. - High attention to detail and accuracy in data entry and analysis. - Strong problem-solving skills to identify and resolve data-related issues. - Ability to work independently and meet deadlines. - Excellent English: written and verbal communication skills. - Strong computer skills, including proficiency in MS Office (Excel, Word, etc.). - Knowledge with AI tools. Requirements - Enter and maintain accurate data into our systems with a high level of precision and attention to detail. - Organize and sort incoming data, ensuring it is categorized correctly for easy retrieval. - Conduct regular data quality checks to identify and correct any errors or inconsistencies. - Assist in data analysis and reporting, generating reports and summaries as required. - Collaborate with team members to ensure data integrity and resolve any data-related issues. - Maintain confidentiality and comply with data security policies.