Saransh Inc

Senior Robotics Data Engineer - Only W2

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
April 10, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Warren, MI
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🧠 - 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€’ Master’s 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).