Siri InfoSolutions, Inc.
Robotics Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Robotics Data Engineer in Warren, MI, on a contract basis. Key skills include robotics, vision, data pipelines, and AI. Experience with data governance and quality metrics is essential. Contract duration and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Warren, MI
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🧠 - Skills detailed
#Data Quality #AI (Artificial Intelligence) #Data Engineering #Metadata #Datasets #Scala #Regression #Data Pipeline
Role description
Job Description
Position: Robotics Data Engineer
Location: Warren, MI (Onsite)
Duration: Contract
Job Description:
Design and implement scalable data pipelines for large-scale robotic datasets (vision, depth, tactile, force/torque).
Build infrastructure to support high-throughput data capture from real robots and simulation environments.
Develop and deploy semi-supervised / self-supervised data labeling workflows to reduce manual annotation cost.
Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation.
Own data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing.
Partner closely with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs.
Establish data quality metrics that directly correlate with perception and grasping performance
Required Skills: Robotics, Vision, Depth
Job Description
Position: Robotics Data Engineer
Location: Warren, MI (Onsite)
Duration: Contract
Job Description:
Design and implement scalable data pipelines for large-scale robotic datasets (vision, depth, tactile, force/torque).
Build infrastructure to support high-throughput data capture from real robots and simulation environments.
Develop and deploy semi-supervised / self-supervised data labeling workflows to reduce manual annotation cost.
Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation.
Own data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing.
Partner closely with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs.
Establish data quality metrics that directly correlate with perception and grasping performance
Required Skills: Robotics, Vision, Depth
