The project involves Mapping, labeling, categorizing, and tagging data such as text, images, audio, or video to train AI models for machine learning applications or Trust and Safety, Fraud Analysis/ Risk Investigation. Your role will ensure the accuracy and consistency of the data, contributing to the development of AI algorithms.

Requirements:

● Work Experience: 0 to 1 years

● Good communication skills both written and verbal

● Good judgment and decision making capability

● Fast grasping power or quick learner

● Demonstrated problem solving and analytical skills

● Ability to connect dots, Excellent attention to detail and work with the highest level of accuracy

● Team player with exceptional interpersonal and solution-oriented attitude

● Ability to clearly communicate with managers and associates at all levels

Preferences:

We are seeking motivated and detail-oriented individuals to join us. This role is ideal for fresh graduates or entry-level candidates eager to gain hands-on experience in Mapping, Trust & Safety, data annotation and machine learning processes.

Job Responsibilities:

1. Conducts research and analyzes data to assess relevant facts and trends
2. Interprets transaction patterns and usage trends across users, geographic regions, and other variables
3. Detects and assesses potential fraud or financial risks
4. Anticipates financial and customer relationship risks
5. Achieves assigned productivity and quality goals within set timeframes
6. Identifies opportunities to enhance operational performance
7. Maintains effective communication with both internal and external stakeholders

What We Offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

About GlobalLogic

GlobalLogic is a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise—we help our clients imagine what’s possible, and accelerate their transition into tomorrow’s digital businesses. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries. GlobalLogic is a Hitachi Group Company operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business.