Job Summary

Global MNC Tech is seeking a detail-oriented Part-Time Data Annotator – LiDAR & Radar to support our advanced artificial intelligence and autonomous systems initiatives. In this role, you will be responsible for labeling and annotating complex sensor datasets generated from LiDAR and radar technologies. Your work will directly contribute to the development of machine learning models used in autonomous vehicles, robotics, and intelligent mobility solutions.

This position is ideal for individuals who have strong attention to detail, an interest in AI and sensor technologies, and the ability to work independently in a fast-paced, data-driven environment. As part of our global technology team, you will collaborate with engineers, data scientists, and AI researchers to ensure high-quality annotated datasets that power next-generation automation systems.

Key Responsibilities

• Annotate and label LiDAR point cloud and radar datasets using specialized annotation tools.

• Identify and classify objects such as vehicles, pedestrians, cyclists, and infrastructure elements within sensor data.

• Ensure high-quality and consistent annotations according to defined project guidelines.

• Review and validate previously annotated datasets to maintain accuracy and quality standards.

• Work closely with AI engineers and data scientists to refine annotation protocols.

• Maintain organized documentation of completed tasks and annotation guidelines.

• Meet productivity and quality targets while adhering to strict deadlines.

• Provide feedback on annotation tools and processes to improve workflow efficiency.

Required Skills and Qualifications

• Bachelors degree in Computer Science, Engineering, Data Science, Information Technology, or a related field (or equivalent practical experience).

• Strong attention to detail and the ability to identify patterns in complex datasets.

• Familiarity with data annotation platforms or labeling tools is an advantage.

• Basic understanding of LiDAR, radar, or 3D sensor data concepts is preferred.

• Proficiency with computers and common productivity tools.

• Strong analytical and problem-solving abilities.

• Ability to work independently while maintaining high levels of accuracy.

Experience

• 0–2 years of experience in data annotation, data labeling, AI dataset preparation, or a related role.

• Experience working with LiDAR point cloud data, computer vision datasets, or autonomous vehicle datasets is highly desirable.

• Prior exposure to AI/ML workflows, sensor fusion datasets, or 3D visualization tools will be considered a strong advantage.

Working Hours

• Part-Time Role

• Flexible working hours with an expected commitment of 15–25 hours per week.

• Remote or hybrid work options depending on project requirements.

• Availability for occasional team meetings or training sessions.

Knowledge, Skills and Abilities

• Understanding of AI training data pipelines and annotation best practices.

• Ability to analyze spatial data and visualize 3D environments.

• Strong organizational and time-management skills.

• Ability to follow detailed technical guidelines and maintain consistency.

• Strong communication skills for collaboration with technical teams.

• Ability to learn new annotation tools and technologies quickly.

Benefits

• Competitive part-time compensation.

• Flexible work schedule that supports work-life balance.

• Opportunity to work on cutting-edge AI and autonomous technology projects.

• Professional development and training in AI data annotation tools.

• Exposure to global technology teams and industry-leading innovation.

• Potential pathway to full-time roles within Global MNC Tech.

Why Join

At Global MNC Tech, we are shaping the future of artificial intelligence, smart mobility, and intelligent automation. By joining our team as a Data Annotator specializing in LiDAR and radar datasets, you will play a critical role in enabling technologies that power autonomous vehicles, robotics, and advanced analytics systems.

We foster a collaborative, inclusive, and innovation-driven culture where employees are encouraged to learn, grow, and contribute to transformative technology solutions used around the world.

How to Apply

Interested candidates are encouraged to submit the following:

• Updated resume or CV

• A brief cover letter highlighting relevant skills or experience in data annotation or AI datasets

• Any portfolio or examples of previous annotation or data-related work (if available)

Applications should be submitted through the Global MNC Tech Careers Portal or via the companys official recruitment email. Shortlisted candidates will be contacted for an online assessment and interview process.