GlobalLogic: Associate Analyst (IRC277111)

Job Description:

As an Associate Analyst at GlobalLogic, you’ll play a vital role in supporting the development of cutting-edge AI and machine learning models by performing data annotation, classification, and evaluation tasks. This position is ideal for fresh graduates who have a passion for technology, a keen eye for detail, and a desire to contribute to innovative computer vision and AI-driven solutions. You’ll work within a collaborative team that values precision, consistency, and curiosity — essential elements in building world-class data pipelines.

This role offers the unique opportunity to learn how machine learning models are trained and refined through high-quality data. You’ll contribute to projects that enhance AI systems’ ability to understand and interpret visual data, directly impacting real-world applications across industries. At GlobalLogic, your work will help shape smarter digital products and next-gen intelligent platforms while you gain hands-on experience in one of the fastest-growing fields in technology.

By joining GlobalLogic’s Content Engineering function, you’ll be part of a global digital engineering powerhouse that partners with leading organizations to build scalable, impactful, and human-centered AI systems. This role combines analytical thinking, attention to detail, and continuous learning — perfect for those beginning their journey in data-driven innovation.

Roles & Responsibilities:

• Perform data annotation and labeling for various multimedia data types, including images and videos, ensuring adherence to defined guidelines and quality standards.

• Execute data classification tasks based on pre-established taxonomies, ensuring consistency and accuracy in categorization.

• Support the evaluation and validation of computer vision models, ensuring optimal performance and precision in output.

• Work closely with engineers and data scientists to provide feedback and insights based on annotated datasets and model evaluation results.

• Conduct data quality checks, identify inconsistencies, and maintain the integrity of labeled data.

• Document annotation workflows, edge cases, and best practices for continual process improvement.

• Participate in team meetings to communicate progress, challenges, and ideas clearly and effectively.

• Stay informed about emerging trends in AI, ML, and computer vision technologies, applying learnings to ongoing tasks.

• Collaborate with cross-functional teams to ensure alignment of data processes with project goals.

• Uphold data privacy and security standards during all annotation and model evaluation processes.

Requirements & Eligibility:

• Any graduate degree with strong analytical and communication skills (must possess a provisional certificate and consolidated mark sheet).

• 0–1 year of professional experience, preferably in data annotation, AI operations, or related technical support roles.

• Excellent verbal and written communication abilities for effective team collaboration.

• Willingness to work on-site from the Hyderabad office in rotational shifts (5 working days and 2 weekly offs).

• Strong attention to detail, accuracy, and commitment to maintaining high-quality data.

• Enthusiasm to learn about AI, ML, and computer vision concepts, even without prior hands-on experience.

• Capable of following structured guidelines and processes while identifying areas for improvement.

• Immediate joiners preferred for prompt project onboarding and training.

• Ability to handle repetitive tasks with consistency and precision in a fast-paced work environment.

• A proactive mindset and openness to continuous learning and upskilling within the AI ecosystem.

Expected Salary:

For Associate Analyst roles at GlobalLogic in Hyderabad, the average starting salary typically ranges between ₹2.5 LPA to ₹4 LPA, depending on educational background, skill level, and project requirements. Entry-level professionals can expect structured training, performance-based appraisals, and career progression opportunities within GlobalLogic’s growing AI and content engineering divisions.

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