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Remote Mechanical Design Engineer Jobs in Manchester, CT

Quora

iOS Engineer -Remote

Hartford, CT · Remote

$61.63 - $88.47/hr

We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

Quora

iOS Engineer -Remote

Springfield, MA · Remote

$61.63 - $88.47/hr

We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

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Showing results 21-40

All JobsMechanical Design Engineer JobsRemote Mechanical Design Engineer JobsRemote Mechanical Design Engineer Jobs in Manchester, CT

Remote Mechanical Design Engineer information

See Manchester, CT salary details

$46K

$92.5K

$137.9K

How much do remote mechanical design engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote mechanical design engineer in Manchester, CT is $92,493.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $104,000.00 per year, depending on experience, location, and employer.

What does a remote mechanical design engineer do?

A Remote Mechanical Design Engineer is responsible for designing, developing, and testing mechanical systems and products, but works from a location outside of the traditional office. They use computer-aided design (CAD) software to create detailed models and drawings, collaborate with team members through digital communication tools, and ensure that designs meet project specifications and industry standards. Their work often involves problem-solving, researching new materials or technologies, and making improvements to existing products or systems. Effective communication and self-management are crucial since they work remotely. This role is common in industries like manufacturing, automotive, aerospace, and consumer products.

How does a remote mechanical design engineer effectively collaborate with on-site teams and manage project communication?

As a Remote Mechanical Design Engineer, effective communication is crucial for ensuring project success. Most teams use collaborative platforms like CAD cloud storage, project management tools, and regular video meetings to bridge the distance. You'll need to proactively update stakeholders, share design files in compatible formats, and clarify requirements or feedback. Building strong relationships with on-site engineers and participating in virtual design reviews are key to staying aligned with team objectives and project timelines.

What are the key skills and qualifications needed to thrive as a remote mechanical design engineer, and why are they important?

To thrive as a Remote Mechanical Design Engineer, you need a solid background in mechanical engineering principles, 3D CAD modeling, and product design, typically supported by a bachelor's degree in mechanical engineering or a related field. Proficiency with industry-standard CAD software such as SolidWorks, AutoCAD, or CATIA, along with familiarity with PLM systems, is essential, and certification in these tools is advantageous. Strong problem-solving abilities, effective communication, and self-motivation distinguish top performers in a remote work setting. These skills and qualities are crucial for delivering innovative, accurate designs and collaborating efficiently with distributed teams.

What is the difference between Remote Mechanical Design Engineer vs Mechanical Drafter?

AspectRemote Mechanical Design EngineerMechanical Drafter
CredentialsBachelor's in Mechanical Engineering or related field; CAD certificationsHigh school diploma or associate degree; CAD training
Work EnvironmentDesign offices, remote work possible, collaborative teamsDrafting rooms, CAD labs, remote work less common
Industry UsageProduct design, engineering firms, manufacturingDrafting and documentation, manufacturing support
Search/Comparison IntentDesign, engineering, product developmentDrafting, technical documentation

The Remote Mechanical Design Engineer focuses on creating and developing mechanical products using CAD software, requiring engineering credentials and design expertise. In contrast, a Mechanical Drafter primarily prepares technical drawings and documentation, often with less formal education. While both roles utilize CAD tools and may work remotely, the engineer's role involves more design innovation and engineering analysis, whereas the drafter supports manufacturing and production documentation.

What cities near Manchester, CT are hiring for Remote Mechanical Design Engineer jobs?

Cities near Manchester, CT with the most Remote Mechanical Design Engineer job openings:

Remote Mechanical Design Engineer jobs near you
Infographic showing various Remote Mechanical Design Engineer job openings in Manchester, CT as of August 2026, with employment types broken down into 77% Full Time, 6% Part Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $92,493 per year, or $44.5 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Hartford, CT • Remote

Full-time

Re-posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply