

Optimal Staffing
Robotics Data Collection Engineer
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
March 24, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Warren, MI
-
π§ - 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'sβ 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. Youβll 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 bachelorβs 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 OEMβs 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.
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'sβ 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. Youβll 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 bachelorβs 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 OEMβs 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.






