Teleoperation Engineer

Sereact GmbH; Boston (MA); On-site; PHP 3,692,000 - 5,538,000; Full time

Benefits offered by this job

Wellpass gym membership

Flexible working hours

Option to work from home when needed

Competitive compensation and career开发

Job summary

Sereact is seeking a Teleoperation Engineer to bridge operations and engineering, overseeing a team of operators, data standards, and QA across teleoperation workflows.

You will operate robotic systems hands-on, train new operators, and collaborate with product and policy teams to translate insights into practical engineering feedback, growing in scope as the company scales.

Qualifications

• 2+ years in training, QA, or a technical environment.
• Completed or in progress technical degree highly preferred (Engineering, Computer Science, Data Science).
• Exposure to teleoperation or VR-based gaming and control systems is a big plus.
• Background in a structured, process oriented, or fast paced operational setting.

Responsibilities

• Spend significant hands-on time operating robotic systems directly; active teleoperation is ongoing.
• Maintain proficiency across teleoperation interfaces (VR, joystick, control rigs).
• Set the standard for task execution and demonstration quality through your own operation.
• Onboard and train new teleoperation operators with consistent standards for task execution, data quality, and reporting.
• Monitor and evaluate operator performance and demonstration data quality across active projects.
• Establish and improve QA processes, and maintain oversight of data custody, tracking, reporting, and issue investigation.
• Develop and maintain SOPs, training materials, and quality frameworks for teleoperation workflows.
• Build and maintain the operational systems, trackers, reporting cadences, and documentation the function runs on.
• Maintain accurate logs of training outcomes, data quality metrics, and cross team feedback.
• Act as the primary bridge between operations and engineering teams; surface feedback and translate guidance into instructions.

Skills

Communication

Documentation

Quality assurance

Data-driven workflows

Cross-team coordination

Education

Engineering

Computer Science

Data Science

Tools

VR interfaces

Robotics platforms

Job description

We are looking for a Teleoperation Engineer to sit at the intersection of our operations and engineering teams. In this role, you will train and manage the quality of a team of teleoperation operators, establish and maintain data collection standards, and act as the critical bridge between project management and the technical teams developing our teleoperation and policy systems. You will maintain direct teleoperation proficiency and translate operational insight into actionable engineering feedback, and vice versa. This role starts hands on and grows in scope and ownership as we scale.

Your Responsibilities

Teleoperation

• Spend significant hands-on time operating our robotic systems directly. Active teleoperation is a core, ongoing part of this role, not an occasional task
• Maintain direct proficiency across robotic systems and teleoperation interfaces (VR, joystick, or control rigs)
• Set the standard for task execution and demonstration quality through your own operation

Training and Quality Management

• Onboard and train new teleoperation operators, establishing consistent standards for task execution, data quality, and reporting
• Monitor and evaluate operator performance and demonstration data quality across active projects
• Establish and improve QA processes, and maintain oversight of data custody, tracking, reporting, and issue investigation
• Develop and maintain SOPs, training materials, and quality frameworks for teleoperation workflows
• Build and maintain the operational systems, trackers, reporting cadences, and documentation the function runs on
• Maintain accurate logs of training outcomes, data quality metrics, and cross team feedback

Cross Team Coordination

• Act as the primary bridge between the operations team and the engineering team (teleoperation and policy development), surfacing operator feedback, flagging systematic issues, and translating engineering guidance into practical operator instructions
• Identify patterns in operator errors, edge cases, and system inconsistencies, and elevate them with structured, actionable context
• Support engineering teams in improving data collection pipelines and interfaces based on operational insight

Qualifications

Education and Experience

• 2+ years of professional experience in training, QA, or a technical environment
• Completed or in progress technical degree highly preferred (Engineering, Computer Science, Data Science, etc)
• Exposure to teleoperation or VR based gaming and control systems is a big plus
• Background in a structured, process oriented, or fast paced operational setting

Skills

• Strong communication and documentation skills with the ability to convey technical concepts across technical and non technical audiences
• Proven ability to assess quality rigorously and coach others toward consistency
• Comfortable working with digital tools, interfaces, and data driven workflows
• Basic technical understanding sufficient to engage productively with engineering teams

Nice to Have

• Direct experience with teleoperation systems, simulation environments, or robotics platforms
• Familiarity with imitation learning or how demonstration data is used in robot policy training
• Experience in competitive gaming, esports, or precision controller based tasks; strong spatial awareness and input consistency are directly applicable
• Background in data annotation, quality assurance, or structured data collection pipelines
• Experience with VR systems or immersive digital environments
• Experience in a startup environment

What We Offer

• Wellpass (gym membership)
• Flexible working hours
• Option to work from home when needed
• A motivated team and an open corporate culture
• Competitive compensation and excellent career development opportunities

Compensation & Benefits

Base salary range: USD $60,000-90,000 (actual pay based on skills, experience, and location)