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Software Test Engineer Remote Jobs in Detroit, MI

Bright Vision Technologies

AI Security Engineer

Troy, MI · Remote

$80K - $105K/yr

AI Security Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

EnerSys

Application Security Engineer (REMOTE)

Novi, MI · Remote

$117K - $146K/yr

This position partners with software engineers, DevOps teams, and security professionals to embed security into the full software development lifecycle. Collaborate within an expanding Cybersecurity ...

IQVIA

Pharmacy Quality Assurance Analyst

Detroit, MI · Remote

$48K - $120K/yr

... programming specifications. * Thoroughly tests software to ensure proper operation and freedom from ... is a remote/WFH position currently open to Internal Employees currently residing in the United ...

Squirl Financial Inc

Software Engineer

Detroit, MI · On-site +1

Significant experience with following test-driven development to create software in Python using ... Close familiarity with software engineering tools, software development methodology and release ...

IQVIA

Pharmacy Quality Assurance Analyst

Detroit, MI · Remote

$48K - $120K/yr

... programming specifications. * Thoroughly tests software to ensure proper operation and freedom from ... is a remote/WFH position currently open to Internal Employees currently residing in the United ...

New

2Bridge Partners

Staff Software Engineer

Detroit, MI · On-site +1

$170K - $200K/yr

2bridge has been engaged in the search for a full-time, direct-hire Staff Software Engineer to join ... Open to remote or hybrid if in the Detroit metro or Ann Arbor area.

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Software Test Engineer Remote information

See Detroit, MI salary details

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How much do software test engineer remote jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for software test engineer remote in Detroit, MI is $50.93, according to ZipRecruiter salary data. Most workers in this role earn between $41.63 and $58.08 per hour, depending on experience, location, and employer.

What does a software test engineer remote do?

As a remote Software Test Engineer, your daily responsibilities usually include designing, writing, and executing test cases for software applications, reporting and tracking defects, and collaborating with development teams to ensure quality standards are met. You may also automate repetitive tests using various tools, participate in virtual team meetings, and review documentation or requirements to gain a clear understanding of what needs to be tested. Regular communication and status updates are key, as is proactive problem-solving to address issues promptly. The remote nature of the role means you'll need to be highly organized and comfortable working independently while engaging with colleagues through digital collaboration platforms.

What is a software test engineer remote?

A Software Test Engineer Remote job involves testing software applications to identify bugs, ensure functionality, and verify that they meet quality standards—all while working from a remote location. Responsibilities typically include writing test cases, executing manual and automated tests, reporting defects, and collaborating with developers to resolve issues. Remote test engineers use various testing tools and frameworks to perform testing efficiently. Strong communication skills are essential to coordinate with distributed teams. This role is ideal for detail-oriented professionals who enjoy problem-solving and improving software quality.

What are the key skills and qualifications needed to thrive as a software test engineer remote?

To thrive as a Software Test Engineer Remote, you need a solid understanding of software development life cycles, test case design, automation tools, and relevant programming languages, often supported by a degree in computer science or a related field. Familiarity with testing frameworks like Selenium or JUnit, version control systems such as Git, and certifications like ISTQB are commonly expected. Excellent communication, self-motivation, and strong analytical skills are crucial for effective remote teamwork and issue resolution. These abilities ensure thorough software quality assurance, efficient collaboration across distributed teams, and the delivery of reliable products.

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Software Test Engineer Remote jobs near you
Infographic showing various Software Test Engineer Remote job openings in Detroit, MI as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $105,940 per year, or $50.9 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rochester Hills, MI • Remote

Full-time

Re-posted 16 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