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Roborax provides robotics data annotation, data collection, teleoperation, and model evaluation services in India for teams building embodied AI, humanoid robots, autonomous systems, and vision-language-action (VLA) models, combining trained operators, multilingual capability, and continuous operational coverage.
India has become an important delivery hub for AI and robotics data operations because it combines a large technical workforce, English-language capability, multilingual coverage, and scalable operational infrastructure. For robotics companies, these capabilities support high-volume annotation, human demonstration, teleoperation, multimodal data processing, and continuous model evaluation.
For embodied AI programs, India can provide the operational scale needed to process large datasets while maintaining defined annotation guidelines, quality controls, escalation workflows, and reporting processes. Roborax combines these operational capabilities with robotics-specific workflows designed around customer-defined tasks and rubrics.
At a glance
Roborax structures India-based data operations around trained operators, team leads, and quality specialists. Our workflow follows a defined quality path: recruit, train, calibrate, annotate, QA, audit, and deliver. Operators are trained against customer-specific task instructions and calibrated using gold-standard examples before production throughput begins.
For complex multimodal programs, dedicated specialists handle workflows such as action segmentation, reward annotation, trajectory review, multimodal labeling, and edge-case escalation.
Roborax’s India operations are designed to support data protection and security requirements for enterprise robotics programs. Depending on the dataset, customer requirements, and applicable regulations, projects can be scoped around appropriate data-processing agreements, access controls, security procedures, and data-residency requirements.
India’s Digital Personal Data Protection (DPDP) Act 2023 provides the country’s core data-protection framework, covering consent-based processing and defined breach-notification requirements. For international programs, cross-border data-transfer mechanisms and any applicable certifications should be confirmed for the specific engagement and documented in the project’s data-processing agreement.
For healthcare-related programs, data handling can be aligned to the customer’s HIPAA-relevant requirements, subject to legal review and scoping for each engagement.
Roborax provides a full range of robotics data services from its India delivery network, supporting teams building embodied AI, humanoid, and autonomous systems.
Robotics Data Annotation: We annotate robot video, trajectories, and sensor data with action labels, object and affordance masks, keypoints, segmentation, and captions required for robotics model training.
Teleoperation Data Collection: We collect human demonstrations and robot trajectories for manipulation, navigation, and long-horizon tasks using customer-defined task protocols.
Multimodal Sensor Data: We process synchronized RGB, RGB-D, LiDAR, IMU, and audio streams to build multimodal datasets for embodied AI and autonomous robotics.
Human Demonstration Data: We capture human demonstrations, egocentric video, hand movements, gaze, and task interactions for imitation learning and VLA model development.
VLA Training Data: We create vision-language-action datasets connecting visual observations, natural-language instructions, and robot actions.
Robotics Model Evaluation: We run human-in-the-loop evaluation, policy testing, edge-case analysis, and benchmark workflows to measure robot performance.
Synthetic Data QA: We validate simulated robotics datasets against defined quality criteria before they enter training or evaluation pipelines.
Training and evaluation data for whole-body manipulation, locomotion, human-robot interaction, and dexterous tasks.
Pick-and-place, sorting, navigation, packaging, and long-tail warehouse scenarios.
Long-horizon manipulation and navigation tasks across dynamic real-world environments.
Robot trajectories, inspection data, manipulation workflows, and safety-related edge cases.
Navigation, obstacle avoidance, environment understanding, and remote-intervention datasets.
Roborax helps robotics and AI teams in India access reliable, scalable, and accurately labeled datasets designed to support robot learning, perception, navigation, and automation at scale.
India operates in a single time zone (IST, UTC+5:30), giving same-day overlap with the EU in the morning, the Middle East throughout the day, APAC during later shifts, and a coordination window with US time zones. Roborax India runs rolling shifts so customers receive continuous throughput without overtime premiums.
Each engagement is assigned a dedicated operations manager aligned to the customer’s time zone, with daily status updates, weekly quality reviews, and monthly commercial reviews as the standard reporting cadence.
Share your robot platform, task type, dataset requirements, and expected volume. Roborax can help define the appropriate annotation, data-collection, teleoperation, or evaluation workflow and scale the India-based operation around your program requirements. We respond within one business day.
