🏢 Job Title: Associate Analyst (Contractual) – Content Engineering
Company: GlobalLogic (A Hitachi Group Company)
Location: Gurgaon, India
Job Type: Contractual
Experience: 0–1 Year (Freshers Eligible)
Salary: As per company norms
Work Model: Remote / Hybrid (as per project requirement)
📌 Job Overview
GlobalLogic is hiring Associate Analyst (Contractual) for its Content Engineering team. This role is ideal for fresh graduates who are interested in working in the growing field of Artificial Intelligence (AI) and Machine Learning (ML).
The job mainly involves data labeling and annotation, which helps in training AI models. Candidates will work with different types of data such as text, images, audio, and video. No prior experience in data annotation is required, as the company provides complete training.
This is a great opportunity for candidates who want to start their career in AI/ML and gain experience in working with real-world data and modern technologies.
🛠️ Key Responsibilities
- Perform data labeling and annotation for AI and ML models
- Work with text, images, audio, and video datasets
- Ensure accuracy and consistency in labeled data
- Follow guidelines and quality standards provided by the company
- Identify errors, inconsistencies, and improve data quality
- Manage tasks efficiently and meet deadlines
- Interpret written, visual, and audio content accurately
- Assist in collecting non-personal data such as images, videos, and audio clips
- Work with large datasets and annotation tools
- Collaborate with team members when required
🎓 Eligibility Criteria
Education:
- Bachelor’s degree in any discipline (Mandatory)
Documents Required:
- Provisional Certificate
- Consolidated Marks Memo
Experience:
- Freshers or candidates with up to 1 year of experience
💡 Required Skills
- Strong English communication skills (written and verbal)
- Basic computer knowledge and familiarity with MS Office / Google Suite
- Good grammar, punctuation, and writing skills
- Strong analytical and critical thinking ability
- High attention to detail and accuracy
- Ability to work independently and manage time effectively
- Comfortable working with digital tools and platforms
⭐ Preferred Skills
- Interest in AI, Machine Learning, and data processing
- Familiarity with different writing styles and content formats
- Problem-solving skills and ability to identify logical errors
📍 Job Location
- Gurgaon, India
- Work model may include remote or office-based work depending on project requirements
📈 Benefits
- Opportunity to work in AI and Machine Learning domain
- Training provided for data annotation and tools
- Career growth and skill development opportunities
- Exposure to real-world AI projects
- Competitive salary and performance-based incentives
- Supportive and collaborative work culture
📝 How to Apply
Interested candidates can apply through the official Deloitte careers website. Make sure to check all details before applying.
🏢 About the Company
GlobalLogic, a part of the Hitachi Group, is a leading digital engineering company that helps businesses design and build innovative digital products and platforms. With a strong global presence, the company works with top organizations to deliver advanced technology solutions in areas like AI, cloud, and data engineering.
GlobalLogic focuses on innovation, continuous learning, and creating impactful solutions that shape the future of industries worldwide.
❓ Frequently Asked Questions
1. Who can apply for this job?
Any graduate with good communication skills and basic computer knowledge can apply.
2. Is this job suitable for freshers?
Yes, freshers are eligible, and training will be provided.
3. What is the role of an Associate Analyst in this job?
The role involves data annotation and labeling for AI and machine learning models.
4. Is there any application fee?
No, there is no fee to apply for this job.
⚠️ Disclaimer
This job information is provided for informational purposes only. We do not charge any fee for job updates. Candidates are advised to verify all details from the official company website before applying.
