Robotics Expansion TL

Team Lead – Robotics Data Collection and Annotation
Leadership Experience:
Proven experience leading and managing teams in a technical or engineering environment.
Strong leadership skills with the ability to motivate, mentor, and guide team members.
Technical Expertise:
Strong understanding of Windows and Ubuntu Operating systems
VSCode familiarity
Basic networking knowledge (troubleshooting device connectivity)
Basic hardware setup skills (mounting cameras, connecting trackers)
Basic python competency (reading error messages)
Log reading: ability to parse error messages and identify relevant information
Basic git (checkout to branch and pulling)
Experience in managing Robotics or other LLM based annotation projects will be preferred
Communication Skills:
Excellent written and verbal communication skills, with the ability to convey complex technical information clearly and effectively.
Analytical Skills:
Strong analytical and problem-solving abilities, with a keen eye for detail
Leadership and Team Management:
Team Oversight:
Lead and mentor a team of Robotics Data Collectors and Annotators, providing guidance, support, and performance evaluations.
Foster a collaborative and high-performance work environment, ensuring team members meet their goals and contribute effectively.
Help the team with the troubleshooting and fixing the issues we face on Ubuntu/Python/VS Code and other platforms
Project Management:
Oversee the planning, execution, and timely delivery of data collection and annotation projects.
Ensure that project milestones and deadlines are met while maintaining high standards of quality.
Prepare and present regular reports on team performance, metrics, and project progress to management. Analyze data to identify trends and areas for improvement.
Training and Development:
Identify training needs and coordinate development opportunities for team members.
Promote best practices in prompt engineering and stay abreast of industry trends and advancements.
Operational Excellence:
Quality Assurance:
Ensure the team consistently produces high-quality data and annotations for various Robotics actions which we will perform.
Implement and oversee processes improving the prompts for a better model training.
Process Optimization:
Identify areas for improvement in Robotics processes and workflows.
Implement best practices and innovative solutions to enhance efficiency and effectiveness.
Cross-Functional Collaboration:
Collaborate with other departments, including Data Science, Research, and Development, to align Robotics efforts with overall project goals.