Robotics Data Collector (Uganda)

CNTXT AI is a leading artificial intelligence company focused on building next-generation AI systems, products, and infrastructure. We specialize in developing multimodal AI, robotics, and intelligent agents, powered by high-quality real-world data. Data is at the core of our innovation. We invest heavily in data collection, annotation, and AI training pipelines to enable advanced systems such as embodied AI and Vision-Language-Action (VLA) models.Role SummaryCNTXT AI is looking for a Robotics Data Collector to support the collection of high-quality robotics and egocentric data used to train AI models.This role involves working hands-on with robotic systems, sensors, and real-world environments to capture multimodal datasets, including video, motion, and interaction data. You will play a key role in enabling the development of intelligent robotic systems and AI agents.The ideal candidate is detail-oriented, technically curious, and comfortable working in lab and controlled real-world environments.Key Responsibilities1. Data Collection Execution Collect robotics and egocentric (first-person) data using:Cameras (handheld, head-mounted, or robot-mounted)Sensors (IMU, depth cameras, etc.)Execute data collection tasks based on predefined scenarios and protocols.Ensure consistent and accurate recording of actions, interactions, and environments. 2. Robotics Operation Support Assist in operating robotic systems (humanoid or mobile robots) during data collection.Support setup and calibration of:Cameras and sensorsRecording systemsEnsure proper functioning of hardware during experiments. 3. Data Quality & Validation Review collected data for:CompletenessClarityAccuracyIdentify and flag issues such as:Missing dataRecording errorsSensor misalignmentFollow quality guidelines to ensure high usability for AI training. 4. Experiment Setup & Execution Prepare environments for data collection sessions.Execute tasks such as:Object manipulationNavigation scenariosHuman-robot interaction recordingsFollow detailed instructions to simulate real-world use cases. 5. Documentation & Reporting Maintain records of:Data collection sessionsEquipment usageIssues encounteredProvide feedback to improve data collection processes and protocols. 6. Safety & Compliance Follow all lab safety protocols and operational guidelines.Handle robotics equipment and sensors with care.Ensure compliance with data privacy and security requirements. Required Qualifications 0–3+ years of experienceData collection, field operations, or lab environmentsTechnical or hardware-related rolesComfortable working with:Cameras, sensors, and recording devicesBasic computer systems and toolsStrong attention to detail and ability to follow instructions precisely. Preferred Skills Experience with robotics systems or hardware environments.Familiarity with:Egocentric or first-person data collectionComputer vision or AI-related datasetsBasic understanding of:Robotics conceptsSensors and data recording toolsExperience working in technical labs or research environments. Key Traits Detail-oriented and quality-focusedHands-on and execution-drivenReliable and consistent in following protocolsComfortable working in dynamic environmentsCurious about robotics and AI Success Metrics Volume and quality of data collectedAccuracy and completeness of datasetsAdherence to data collection protocolsReduction in data errors and reworkEfficiency in executing data collection tasks Why Join CNTXT AI Work on cutting-edge robotics and AI systemsContribute to building next-generation intelligent agentsGain hands-on experience with robotics labs and real-world dataBe part of a fast-growing, innovation-driven company <

• Collect robotics and egocentric (first-person) data using: • Cameras (handheld, head-mounted, or robot-mounted) • Sensors (IMU, depth cameras, etc.) • Execute data collection tasks based on predefined scenarios and protocols. • Ensure consistent and accurate recording of actions, interactions, and environments. • Assist in operating robotic systems (humanoid or mobile robots) during data collection. • Support setup and calibration of: • Cameras and sensors • Recording systems • Ensure proper functioning of hardware during experiments. • Review collected data for: • Completeness • Identify and flag issues such as: • Missing data • Recording errors