

Saransh Inc
Senior Robotics Data Engineer - Only W2
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Robotics Data Engineer on a W2 contract in Warren, MI. Requires 3+ years in data engineering and ML systems, expertise in Python, TensorFlow/PyTorch, and experience with large multimodal datasets.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
Unknown
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ποΈ - Date
April 10, 2026
π - Duration
Unknown
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ποΈ - Location
On-site
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π - Contract
W2 Contractor
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π - Security
Unknown
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π - Location detailed
Warren, MI
-
π§ - Skills detailed
#AI (Artificial Intelligence) #Metadata #ML (Machine Learning) #Computer Science #Data Pipeline #Datasets #Data Engineering #Data Science #Scala #TensorFlow #Data Quality #PyTorch #Azure #Regression #Microsoft Power BI #Python #BI (Business Intelligence)
Role description
Role: Senior Robotics Data Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
Main Skills: Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services)
Key Responsibilities
β’ Design and implement scalable data pipelines for large-scale robotic datasets (vision, depth, tactile, force/torque).
β’ Build infrastructure for high-throughput data capture from real robots and simulation environments.
β’ Develop and deploy semi-supervised/self-supervised data labeling workflows to minimize manual annotation costs.
β’ Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation.
β’ Manage data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing.
β’ Collaborate with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs.
β’ Establish data quality metrics that correlate with perception and grasping performance.
Required Qualifications
β’ Minimum 3 years of experience in data engineering, machine learning systems, robotics, or related fields.
β’ Masterβs degree in Engineering, Computer Science, Data Science, or equivalent practical experience.
β’ Proven experience building production-grade data pipelines for ML/AI systems.
β’ Strong hands-on experience with Python-based data tooling.
β’ Experience working with large, complex, multimodal datasets.
Preferred Qualifications
β’ Direct experience supporting robotics perception, grasping, or manipulation AI.
β’ Familiarity with robotics simulation platforms (e.g., Isaac Sim) and synthetic data generation.
β’ Experience with data labeling tools and annotation workflows at scale.
β’ Hands-on knowledge of TensorFlow and/or PyTorch from a data systems perspective.
β’ Experience with Microsoft data ecosystems (Power BI, Azure data services).
Role: Senior Robotics Data Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
Main Skills: Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services)
Key Responsibilities
β’ Design and implement scalable data pipelines for large-scale robotic datasets (vision, depth, tactile, force/torque).
β’ Build infrastructure for high-throughput data capture from real robots and simulation environments.
β’ Develop and deploy semi-supervised/self-supervised data labeling workflows to minimize manual annotation costs.
β’ Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation.
β’ Manage data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing.
β’ Collaborate with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs.
β’ Establish data quality metrics that correlate with perception and grasping performance.
Required Qualifications
β’ Minimum 3 years of experience in data engineering, machine learning systems, robotics, or related fields.
β’ Masterβs degree in Engineering, Computer Science, Data Science, or equivalent practical experience.
β’ Proven experience building production-grade data pipelines for ML/AI systems.
β’ Strong hands-on experience with Python-based data tooling.
β’ Experience working with large, complex, multimodal datasets.
Preferred Qualifications
β’ Direct experience supporting robotics perception, grasping, or manipulation AI.
β’ Familiarity with robotics simulation platforms (e.g., Isaac Sim) and synthetic data generation.
β’ Experience with data labeling tools and annotation workflows at scale.
β’ Hands-on knowledge of TensorFlow and/or PyTorch from a data systems perspective.
β’ Experience with Microsoft data ecosystems (Power BI, Azure data services).






