Robotics Teleoperator

Job Description

Job Description

Job Summary
As a Data Operations Technician, you will join the Product Data Operations team to support The Robotics Studio data collection and annotation projects. You will work directly with new and emerging VR/AR technologies, performing hands-on data collection, annotation, and quality assurance tasks. 

Responsibilities
Operate prototype devices to collect high-quality data in lab and simulated environments.
Follow detailed protocols to perform complex data collection tasks, ensuring consistency and accuracy.
Annotate and label collected data using internal tools and platforms.
Participate in quality assurance (QA) activities, reviewing and validating data for accuracy and completeness.
Collaborate with team members and project leads to orchestrate and optimize data collection sessions.
Document procedures, issues, and findings as needed.
Adhere to all safety, privacy, and confidentiality guidelines.

Minimum Qualifications
Experience with AR/VR devices, robotics, or similar hands-on technical environments.
Strong attention to detail and ability to follow complex protocols.
Comfort with repetitive tasks and ability to maintain focus and accuracy.
Basic computer literacy; experience with data entry or annotation tools is a plus.
Ability to work collaboratively in a fast-paced, on-site team environment.
Willingness to learn and adapt to new tools and processes.
Scope of Work and Deliverables
Generate high-quality datasets following strict procedural instructions.

Preferred Qualifications
Strong experience operating Meta Quest 3 headsets
Experience troubleshooting and documenting technical errors

Roles & Responsibilities
Operate and set up prototype robotics and XR devices (e.g., Quest 3 headsets) according to established protocols.
Execute hands-on data generation tasks, ensuring accuracy and consistency.
Annotate and review collected data using internal tools, maintaining high quality standards.
Perform initial quality checks and flag issues for follow-up.
Collaborate with team members and project leads to support data operations and troubleshoot device or process issues.
Adhere to safety, privacy, and operational guidelines in all lab activities.
Surrounding team & key projects
Meta Robotics Studio (MRS) needs to train models to operate humanoid robots. Due to the nascent, but very high-priority status of the program, the Product Data Operations (PDO) supporting MRS needs a very adaptable workforce of trusted personnel who can interact directly with early-prototype devices and provide real-time feedback on dataset generation processes. The collection and annotation processes will be very iterative for a period of time as MRS dials in on what data they need and how they want to evaluate that data. This group will serve as a foundational group for establishing long-term, scalable collection and annotation projects through traditional Scaled Ops (SO) resources.

Typical Day-to-Day in the role
This role will spend their day on-site preparing and operating devices, following detailed protocols to generate and log data, performing initial quality checks, and using internal tools to annotate or review data. The role involves repetitive but detail-oriented tasks, close collaboration with team members, and regular communication with project leads to ensure high-quality, consistent data for model training and evaluation.

How will performance be measured? Can you walk me through the evaluation process for this role, and how you assess the impact and effectiveness of a Reality Labs Project Manager’s work?
Performance will be measured by the individual’s ability to consistently execute data operations protocols with accuracy and attention to detail, maintain high data quality standards, and reliably support device setup, operation, and troubleshooting. Evaluation focuses on meeting daily and project-based targets for data generation and annotation, following safety and operational guidelines, and contributing to a collaborative team environment. The process includes regular check-ins with the manager, feedback on task execution and data quality, and periodic reviews of productivity, reliability, and teamwork. Both quantitative metrics (such as volume and accuracy of data processed) and qualitative feedback (from peers and leads) are considered, with emphasis on adaptability, adherence to protocols, and positive contributions to team goals.

This role offers the chance to work hands-on with advanced robotics and XR devices, directly contributing to product development by ensuring high-quality data and adapting to evolving technical challenges.
This role would be a great gateway to leadership roles in data operations.
Competitive market comparison & Unique Selling Points
Direct access to prototype hardware and the latest AR/VR devices, enabling richer and more diverse data generation.
Close integration with product development teams, allowing for rapid feedback loops and operational agility.
Proprietary data management and annotation tools designed for scalability and quality control.
On-site, hands-on expertise that ensures high data fidelity and immediate troubleshooting.

Candidate Requirements
Must-Have Skills
Ability to follow precise protocols and maintain high data quality standards during repetitive tasks.
Comfort with operating and troubleshooting AR/VR devices (such as Quest 3 headsets) and basic computer literacy for using internal data tools.
Ability to identify workflow inefficiencies, suggest improvements, and contribute feedback to enhance operational protocols and tools.
Proven track record of showing up on time, executing assigned tasks accurately, and maintaining productivity in a structured lab environment.
Nice-to-have Skills
Prior hands-on experience working with robotics, AR/VR hardware, or similar technical equipment.
Familiarity with data labeling, annotation platforms, or quality assurance processes in a research or product development setting.
Familiarity with simple data analysis techniques or scripting (e.g., using Excel, Python, or similar tools) to help validate data quality, automate routine tasks, or generate basic reports.