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Remote Contract Robotics Engineer Jobs in Detroit, MI

Robotics Tutor

Ann Arbor, MI ยท Remote

$18 - $40/hr

Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Robotics Tutor

Detroit, MI ยท Remote

$18 - $40/hr

Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Engineering & Science Job Schedule: Full time Remote: No The Opportunity: JR Automation, a Hitachi ... Perform robotic reach & cycle time studies. * Perform system throughput studies. * Work with the ...

Engineering & Science Job Schedule: Full time Remote: No The Opportunity: JR Automation, a Hitachi ... Perform robotic reach & cycle time studies. * Perform system throughput studies. * Work with the ...

Engineering & Science Job Schedule: Full time Remote: No The Opportunity: JR Automation, a Hitachi ... Perform robotic reach & cycle time studies. * Perform system throughput studies. * Work with the ...

Application Engineer

Detroit, MI ยท On-site +1

$85K - $130K/yr

Remote in the Detroit, Michigan area On-Target Compensation: $85,000 - $130,000 ( Compensation is ... Bachelor's degree in electrical, Mechatronics, Robotics, or Mechanical Engineering or relevant ...

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Showing results 1-20

Remote Contract Robotics Engineer information

See Detroit, MI salary details

$28.7K

$104.5K

$167.3K

How much do remote contract robotics engineer jobs pay per year?

As of Jul 25, 2026, the average yearly pay for remote contract robotics engineer in Detroit, MI is $104,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $125,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Contract Robotics Engineer vs Remote Contract Automation Engineer?

AspectRemote Contract Robotics EngineerRemote Contract Automation Engineer
Required CredentialsBachelor's in Robotics, Mechanical, or Electrical Engineering; relevant certificationsBachelor's in Automation, Electrical, or Computer Engineering; certifications in automation systems
Work EnvironmentDesigning, testing, and programming robotic systems remotelyDeveloping and implementing automation solutions remotely
Employer & Industry UsageManufacturing, robotics companies, research labsIndustrial facilities, manufacturing, process industries

Remote Contract Robotics Engineers focus on designing and programming robotic systems, while Remote Contract Automation Engineers specialize in automating processes. Both roles require technical expertise and often work remotely for similar industries, but their core responsibilities differ in scope and application.

What job categories do people searching Remote Contract Robotics Engineer jobs in Detroit, MI look for? The top searched job categories for Remote Contract Robotics Engineer jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Remote Contract Robotics Engineer jobs? Cities near Detroit, MI with the most Remote Contract Robotics Engineer job openings:
Infographic showing various Remote Contract Robotics Engineer job openings in Detroit, MI as of July 2026, with employment types broken down into 61% Full Time, 21% Part Time, 1% Temporary, and 17% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $104,545 per year, or $50.3 per hour.
AI Architect (with Azure)-Remote : Contract on w2

AI Architect (with Azure)-Remote : Contract on w2

Marvel Technologies Inc

Southfield, MI โ€ข Remote

$65 - $84.75/hr

Contractor

Posted 29 days ago


Job description

Job Titleย : ย AI Architect (with Azure)

Locationย : ย ย Remote-USA

Duration : Long Term Contract

Contract on w2

Domain- Preferred Insurance.

Experience: 15+ years

Role Overview:

We are seeking a highly skilled AI Azure Architect to lead the architecture and technical strategy for AI programs across insurance and other regulated industries. The AI Architect will own and define reference architectures for Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI, ensuring solutions are scalable, secure, compliant, and deliver measurable business value on AWS cloud/Azure Cloud.

Key Responsibilities:

  • Define end-to-end AI architectures covering ingestion โ†’ storage โ†’ retrieval โ†’ reasoning โ†’ action โ†’ monitoring.
  • Own and evolve reference architectures for Document AI, Conversational AI, and Agentic AI.
  • Specify non-functional requirements (latency, throughput, privacy, compliance, observability, cost).
  • Select and justify AWS-native AI/ML services (Bedrock, SageMaker, Kendra, OpenSearch, etc.) and third-party tools.

OR

  • Select and justify Azure-native AI/ML Services - Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob Storage, Azure AI Search, Azure Cognitive Services, Service Principals, and Azure Agent (critical for agentic workflows).
  • Govern prompt/version management, enforce safety policies, and manage controls for prompt injection and PII protection.
  • Lead PoCs to production with AWS-based templates and golden paths.
  • Collaborate with stakeholders; mentor engineers; conduct design/code reviews.
  • Establish measurement frameworks (hallucination rate, groundedness, answer quality, CSAT, deflection).
  • Ensure seamless AWS/Azure enterprise integrations with insurance platforms (policy, claims, underwriting).

Required Skills & Experience:

  • 15+ years in AI/ML software, 3โ€“5+ years in solution/enterprise architecture.
  • Proven experience designing AI systems at enterprise scale on AWS/Azure.
  • Hands-on with AWS Bedrock, SageMaker, Lambda, Kendra, OpenSearch, Redshift, DynamoDB, S3.

OR

  • Hands on Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Service Principals, Azure Blob, Azure AI Search, Azure Cognitive Services, and Azure Agent.
  • Expertise in LLMs, vector databases, RAG pipelines, and agentic workflows.
  • Strong multi-cloud cost/latency tradeoff knowledge.
  • Excellent communication, stakeholder engagement, and blueprinting skills.
  • Insurance industry experience strongly preferred (FNOL, claims adjudication, underwriting, billing, policy servicing).