Computer Vision Data Annotation Specialist (Autonomous Vehicles | Remote India)

Join the Future of Autonomous Driving AI We are seeking highly detail-oriented professionals with experience in Data Annotation, Computer Vision, AI Training Data, and Quality Review to support the development of next-generation Autonomous Vehicle technologies. This opportunity offers the chance to work on advanced AI systems by analyzing real-world driving scenarios, validating AI-generated outputs, improving annotation quality, and helping train multimodal and computer vision models that power autonomous driving solutions. If you have experience working with large-scale AI data projects and a strong understanding of road environments, traffic behavior, and annotation workflows, we'd love to connect with you. Key Responsibilities

• Review and analyze real-world driving videos and traffic scenarios.
• Evaluate road environments, including vehicles, pedestrians, traffic signs, lane markings, and potential hazards.
• Validate, edit, and improve AI-generated captions and scene descriptions.
• Review object annotations, bounding boxes, and grounding accuracy.
• Identify hallucinations, inconsistencies, and quality issues in AI outputs.
• Perform quality assurance reviews to ensure compliance with project standards.
• Maintain high accuracy levels while meeting established productivity and quality KPIs.
• Collaborate with project teams to continuously improve annotation quality and model performance. Required Qualifications Experience
• 1–5+ years of professional experience in one or more of the following:
• Data Annotation
• Video Annotation
• Image Annotation
• LiDAR Annotation
• AI Training Data Creation
• Quality Assurance / Quality Review Technical Expertise Hands-on experience with annotation platforms such as:
• CVAT
• Labelbox
• Supervisely
• Scale AI
• Appen
• Outlier
• Remotasks
• Similar annotation and data-labeling tools Domain Knowledge
• Understanding of traffic scenes and road environments
• Familiarity with ADAS (Advanced Driver Assistance Systems)
• Exposure to Autonomous Vehicle datasets
• Knowledge of Computer Vision annotation workflows Additional Requirements
• Excellent written English communication skills
• Strong attention to detail and analytical thinking
• Valid Indian Driving License Preferred Qualifications Candidates with experience in the following areas will be highly regarded:
• Autonomous Vehicle programs involving Waymo, Tesla, Cruise, Zoox, Uber ATG, Scale AI, Deepen AI, or similar organizations
• Traffic sign recognition projects
• Lane detection and road segmentation
• Object detection and tracking
• AI captioning and multimodal annotation projects
• Quality Reviewer, Auditor, or QA Lead responsibilities Why This Opportunity
• ?Contribute to cutting-edge AI technologies powering autonomous mobilit
• yWork remotely from anywhere in Indi
• aCollaborate on large-scale Computer Vision and Multimodal AI initiative
• sGain exposure to advanced AI training workflows used by leading technology organization
• sWork on real-world datasets that directly influence AI model performanc We encourage applications from professionals who have worked on projects with Appen, Scale AI, Outlier, Remotasks, Labelbox, CVAT, Supervisely, autonomous driving datasets, ADAS programs, computer vision initiatives, or AI training data operatio

If you're passionate about AI, data quality, and autonomous vehicle technology, we'd love to hear from you.📩 Interested professionals are encouraged to apply or reach out directly

To: Prasan.Chaudhary@truelancer.com