TALENT Software Services
Overview
This role involves robotics research in robot learning, specifically training AI models that enable robots to perform various physical tasks by collecting and curating data through teleoperation. The team conducts research in this area and the role includes working with real physical robots to collect data and train models. Responsibilities
Collect AI training data by teleoperating a robotic manipulator. Collaborate with research team members to verify and analyze the collected data and to design improvements to the data collection protocol. Run AI training jobs to assess data quality and support model development. Qualifications
Basic familiarity with computer science and machine learning concepts. Basic familiarity with robotic manipulation. Python knowledge. Strong written and oral communication skills. Strong troubleshooting and problem-solving skills. Top Hard Skills
Minimum 2 years of experience with Python (basic knowledge acceptable, including self-taught or hobby experience). Minimum 2 years of experience with basic computer science and machine learning concepts. Minimum 2 years of experience with Ubuntu/Linux (basic familiarity, even if only from home use). Team and Work Details
Purpose of the Team: The team is dedicated to research in robot learning, specifically training AI models that enable robots to perform various physical tasks by collecting and curating data through teleoperation. Key Projects: Collecting training data on real physical robots, running small-scale model training, and verifying data quality for AI model development. Typical Task Breakdown and Operating Rhythm: Flexible lab hours, setting up the robot and teleoperation equipment, following a data collection protocol, collecting data for several hours, running model training jobs, and evaluating model performance on the robot. Job Details
Employment type: Full-time Seniority level: Mid-Senior level Job function: Other Industries: IT Services and IT Consulting
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This role involves robotics research in robot learning, specifically training AI models that enable robots to perform various physical tasks by collecting and curating data through teleoperation. The team conducts research in this area and the role includes working with real physical robots to collect data and train models. Responsibilities
Collect AI training data by teleoperating a robotic manipulator. Collaborate with research team members to verify and analyze the collected data and to design improvements to the data collection protocol. Run AI training jobs to assess data quality and support model development. Qualifications
Basic familiarity with computer science and machine learning concepts. Basic familiarity with robotic manipulation. Python knowledge. Strong written and oral communication skills. Strong troubleshooting and problem-solving skills. Top Hard Skills
Minimum 2 years of experience with Python (basic knowledge acceptable, including self-taught or hobby experience). Minimum 2 years of experience with basic computer science and machine learning concepts. Minimum 2 years of experience with Ubuntu/Linux (basic familiarity, even if only from home use). Team and Work Details
Purpose of the Team: The team is dedicated to research in robot learning, specifically training AI models that enable robots to perform various physical tasks by collecting and curating data through teleoperation. Key Projects: Collecting training data on real physical robots, running small-scale model training, and verifying data quality for AI model development. Typical Task Breakdown and Operating Rhythm: Flexible lab hours, setting up the robot and teleoperation equipment, following a data collection protocol, collecting data for several hours, running model training jobs, and evaluating model performance on the robot. Job Details
Employment type: Full-time Seniority level: Mid-Senior level Job function: Other Industries: IT Services and IT Consulting
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