Associate Analyst

Candidates typically face a three‑stage process: an online aptitude test, a practical annotation exercise where they label sample data, and an HR interview that assesses communication skills and shift readiness. The difficulty is moderate; thorough preparation of basic reasoning questions and familiarity with annotation guidelines greatly improve performance.

GlobalLogic VelocityAI promotes a fast‑paced yet supportive work culture where learning is continuous and collaboration is encouraged. Employees benefit from flexible schedules, regular skill‑upgradation programs and a healthy work‑life balance supported by generous leave policies and remote‑work options where applicable.

• Bachelor’s degree in any discipline (any stream)\n• Minimum 60% aggregate (or equivalent CGPA) in the qualifying degree\n• No active backlogs at the time of joining\n• Fresh graduates or candidates with up to 1 year of relevant experience\n• Must be willing to work in shifts (24/7 environment)\n• Strong command of English (reading, writing and listening)\n• Ability to work on a laptop/desktop for extended periods

Round 1: Online aptitude test (logical reasoning, quantitative, English) → Round 2: Technical/annotation tool assessment (practical labeling task and discussion) → Round 3: HR interview (fitment, availability for shifts, salary expectations)

GlobalLogic, a Hitachi Group Company, has been a leading digital engineering partner since 2000. With a presence in more than 30 cities worldwide, the firm helps Fortune‑500 brands create intelligent products, platforms and services across high‑tech, healthcare, media, retail and telecom sectors. Its VelocityAI division focuses on building AI‑driven solutions that power next‑generation applications, leveraging massive datasets and cutting‑edge machine learning models. The company’s culture blends rigorous engineering standards with a collaborative, open‑minded environment, encouraging fresh talent to experiment, learn and grow.\n\nThe role of Associate Analyst is an entry‑level position designed for recent graduates who are eager to step into the AI/ML ecosystem. While no prior data‑annotation experience is required, the candidate will receive comprehensive training on annotation tools, quality‑control processes and the end‑to‑end data pipeline that fuels GlobalLogic’s AI projects. This position offers a unique foothold into the data‑centric side of AI, providing exposure to real‑world datasets ranging from text and audio to video and image content.\n\nKey Responsibilities:\n1. Manually label and annotate data points (text, audio, video, images) following detailed guidelines.\n2. Ensure consistency and accuracy of labeled data by adhering to established standards.\n3. Meet daily and weekly annotation targets while maintaining high quality.\n4. Communicate effectively with supervisors to clarify guidelines and resolve ambiguities.\n5. Decode written content, describe visual/audio media using proper grammar and terminology.\n6. Perform quality checks and flag inconsistencies for review.\n7. Adapt quickly to new annotation tools and software platforms.\n8. Assist in gathering non‑personal data for AI model development, including receipts, building images, vehicle types, etc.\n9. Troubleshoot annotation challenges and propose process improvements.\n10. Work in a 24/7 shift environment, coordinating with global teams as needed.\n\nTech Stack & Tools: MS Office/Google Suite, proprietary annotation platforms, basic file handling utilities, and exposure to version‑control concepts. While programming is not a core requirement, familiarity with Python or scripting can be advantageous for future growth.\n\nGrowth Path: Starting as an Associate Analyst, high performers can progress to Senior Analyst, Data Quality Lead, and eventually transition into Data Analyst, Machine Learning Engineer or Product Specialist roles, supported by GlobalLogic’s Learning & Development programs.\n\nWhy Join GlobalLogic VelocityAI? The company offers exciting projects with global brands, a collaborative environment, flexible work schedules, competitive compensation, comprehensive benefits, and a vibrant campus life that includes sports, cultural events and dedicated innovation zones. This role is an ideal launchpad for anyone passionate about AI, data quality and building a career in a world‑class technology firm.