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Remote Computer Science Opt Jobs in Sartell, MN (NOW HIRING)

Remote Computer Science Opt information

See Sartell, MN salary details

$81.4K

$99.9K

$132K

How much do remote computer science opt jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote computer science opt in Sartell, MN is $99,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $112,000.00 per year, depending on experience, location, and employer.

What is a remote computer science OPT?

Remote Computer Science OPT jobs are employment opportunities that allow international students in the U.S. on F-1 visas to work remotely in computer science-related fields during their Optional Practical Training (OPT) period. These positions can include software development, data analysis, IT support, and other technology roles that permit employees to work from locations outside of the traditional office. Such jobs help students gain practical experience in their field of study while offering flexibility in work location. It's important that the job is directly related to the student's major and meets all OPT requirements set by U.S. immigration policies.

What are the key skills and qualifications needed to thrive as a remote computer science OPT, and why are they important?

To thrive as a Remote Computer Science Opt, you need a solid background in computer science fundamentals, programming, and problem-solving, typically supported by a relevant degree or technical certification. Familiarity with version control systems (like Git), remote collaboration tools, and common programming languages such as Python or Java is essential. Strong self-motivation, effective communication, and time management skills help you stand out in a remote environment. These competencies ensure productivity, high-quality technical output, and smooth teamwork despite working from different locations.

How do remote computer science OPT professionals typically collaborate with their teams to ensure project success?

Remote Computer Science professionals often use a combination of collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello to stay connected with their teams. Regular virtual meetings, code reviews, and documentation sharing are standard practices to maintain clear communication and alignment on project goals. Adapting to asynchronous communication and being proactive in providing updates are essential to overcome the challenges of different time zones and remote work dynamics. Building strong relationships with colleagues through regular check-ins and open communication greatly contributes to successful teamwork and project outcomes.
What job categories do people searching Remote Computer Science Opt jobs in Sartell, MN look for? The top searched job categories for Remote Computer Science Opt jobs in Sartell, MN are:
What cities near Sartell, MN are hiring for Remote Computer Science Opt jobs? Cities near Sartell, MN with the most Remote Computer Science Opt job openings:

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Saint Cloud, MN • Remote

Full-time

Re-posted 17 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.