Optimal Staffing

Robotics Data Collection Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Robotics Data Collection Engineer in Warren, MI, with a contract length of unspecified duration. Pay rate is "unknown." Key skills include hands-on robotics experience, proficiency in Linux and Python, and familiarity with data collection in automotive manufacturing.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
March 24, 2026
πŸ•’ - Duration
Unknown
-
🏝️ - Location
On-site
-
πŸ“„ - Contract
W2 Contractor
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
Warren, MI
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #R #Python #ML (Machine Learning) #Datasets #Linux #Automation #"ETL (Extract #Transform #Load)" #Scripting
Role description
Client requires candidates to be on Optimal's W2 Only, no C2C or referral fees can be applied. Robotics Data Collection Enginee rWarren, MI | On-Site (5 days/week ) Position Summa ryJoin OEM's’ Automation, Robotics & Controls (ARC) AI team as a Robotics Data Collection Engineer. In this hands-on role, you will work directly with advanced robotic systems to collect, organize, and validate training data that enables AI-powered robotic manipulation in automotive manufacturing. You’ll contribute to building the datasets that power the next generation of intelligent manufacturing automation at their Warren, MI Technical Cente r. Key Responsibilit β€’ iesCollect high-quality robot telemetry, sensor, and visual data from manufacturing robotic systems in lab and production-like environme β€’ ntsOperate and monitor robotic systems, GELLO teleop interfaces, and data collection hardw β€’ areOrganize, label, and validate data according to established annotation guidelines and quality standa β€’ rdsPerform manual annotation and verification when necessary to generate high-quality ground truth lab β€’ elsExecute data collection campaigns following documented protocols and experimental desi β€’ gnsTroubleshoot data collection issues and document problems for engineering te β€’ amsCollaborate with AI engineers, robotics engineers, and manufacturing teams to ensure data meets model training requireme nts Required Qualificat β€’ ionsCollege or bachelor’s degree in engineering, ME or EE prefe β€’ rredAbility to work on-site at Warren Technical Center, 5 days per β€’ weekAttention to detail and ability to follow technical procedures and documenta β€’ tionReliability, accountability, and ability to work independently and as part of a β€’ teamStrong, demonstrated hands-on experience operating, troubleshooting, and maintaining industrial or collaborative robotic a β€’ rms.Proficiency in Linux environments and basic scripting (e.g., Python) to interface with robotic systems and manage data pipeli β€’ nes.Proven experience working directly with perception sensors and hardware, alongside a solid understanding of how to capture and validate high-quality sensor d ata. Preferred Qualifica β€’ tionsExperience with robotics, manufacturing, or data colle β€’ ctionFamiliarity with Python, Linux, or data tools (beneficial but not requ β€’ ired)Experience operating or troubleshooting technical equi β€’ pmentBasic understanding of machine learning, AI, or data annotation con β€’ ceptsExperience in automotive or manufacturing environ ments What We OfferHands-on experience with cutting-edge robotics and AI tech nologyOpportunity to contribute to transformative manufacturing auto mationCollaborative team environment with world-class engineers and resea rchers Work Envi ronmentThis position is based at OEM’s Warren Technical Center in Warren, Michigan. You will work on-site 5 days per week in lab and manufacturing environments. The role involves standing, walking, and handling equipment. Safe work practices and adherence to OEM's safety standards are ess ential.