Job Description
Summary
Randstad India is seeking a detail-oriented Process Executive in Pune, Maharashtra to join a cutting-edge Autonomous Cars technology team. The ideal candidate will work on video labeling and validation for autonomous vehicles, helping improve chassis control systems, object detection, and AI training datasets. This role is perfect for candidates looking to start a career in autonomous vehicle technology, AI data processing, and computer vision. As a Video Labeling Process Executive, you will support the development of smart, self-driving vehicles by ensuring accurate annotation of road signs, lanes, vehicles, pedestrians, and other critical infrastructure.
Job Details at a Glance
| Detail | Information |
|---|---|
| Job Title | Process Executive – Video Labeling |
| Location | Pune, Maharashtra (Remote) |
| Company | Randstad India (Client Project) |
| Employment Type | Temporary |
| Experience Required | 0–1 Year |
| Education | Bachelor’s Degree (Engineering preferred) |
| Shift | Standard Day Shift |
| Tools & Technologies | Video Annotation Tools, AI Training Datasets, Computer Vision Software |
| Reference Number | JPC – 111821 |
| Application Deadline | 10 November 2025 |
Key Responsibilities
- Validate and label video sequences captured from cameras mounted on autonomous cars.
- Identify and annotate road signs, lanes, lights, vehicles, pedestrians, and surrounding infrastructure.
- Synchronize recorded video files with the master database for accurate dataset creation.
- Support team members in resolving issues during video labeling and annotation tasks.
- Ensure quality and consistency in labeled datasets for AI and machine learning models.
- Follow project guidelines and maintain compliance with data annotation standards.
Required Skills
- Basic understanding of autonomous vehicle technology and computer vision concepts.
- Attention to detail for accurate video labeling and validation.
- Strong communication skills to collaborate with team members.
- Ability to work remotely and manage tasks independently.
- Quick learner with willingness to adapt to new tools and software.
- Familiarity with video annotation tools is a plus.
Qualifications
- Bachelor’s degree in Engineering, Computer Science, or related fields.
- 0–1 year of experience in data processing, video labeling, or autonomous vehicle projects.
- Interest in AI, machine learning, and autonomous vehicles.
- Collaborative, solution-focused approach with strong written and verbal communication skills.
Why Join Randstad India
- Contribute to autonomous vehicle AI development and smart mobility solutions.
- Gain hands-on experience in video annotation, machine learning data preparation, and computer vision projects.
- Opportunity to work remotely with a leading talent solutions company.
- Build a career in the fast-growing autonomous vehicles and AI industry.
Apply Now
Kickstart your career as a Process Executive – Video Labeling for Autonomous Cars with Randstad India. Submit your application today through the official careers page: