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Remote Software Engineer 300K Jobs in Alaska (NOW HIRING)

Job Title: Project Engineer SOC code: 17-3022 FLSA Classification: Exempt Department/Location ... and remote field work. * Knowledge of and the ability to use a computer and software to record ...

You'll work on a wide variety of projects, using the latest technology, software, and state-of-the ... Ability to travel for field work in remote areas, sometimes in adverse conditions but always with ...

You'll work on a wide variety of projects, using the latest technology, software, and state-of-the ... Ability to occasionally travel for field work in remote areas throughout Alaska. Travel in other ...

$18 - $50/hr

We are a leading global software company dedicated to the world of computer aided design, 3D ... Comfortable working in a remote work environment preferably in the California region * Experience ...

New

$18 - $50/hr

We are a leading global software company dedicated to the world of computer aided design, 3D ... Comfortable working in a remote work environment preferably in the California region * Experience ...

New

Showing results 21-40

Remote Software Engineer 300K information

What is a remote software engineer?

A Remote Software Engineer is a professional who designs, develops, and maintains software applications while working from a location outside of a traditional office environment. Earning a $300K salary as a remote software engineer typically requires advanced technical expertise, experience with in-demand programming languages, and a proven track record in high-impact roles or specialized industries such as finance, big tech, or startups. These positions often involve complex systems architecture, leadership responsibilities, or niche skills, and can be found at leading technology companies or through high-paying contract work. Negotiating competitive compensation, contributing to open-source projects, and continuously updating skills are also important factors in achieving this salary level.

What are the key skills and qualifications needed to thrive as a remote software engineer earning $300K?

To thrive as a Remote Software Engineer at a high compensation level, you need advanced programming skills, deep knowledge of software architecture, and a degree in computer science or equivalent experience. Mastery of languages like Python, Java, or C++, along with expertise in cloud platforms, CI/CD systems, and relevant certifications (such as AWS Certified Solutions Architect), are often required. Exceptional problem-solving, self-motivation, and strong communication skills help you excel in distributed, collaborative environments. These capabilities ensure you can deliver complex solutions independently, drive team success, and make significant contributions that justify top-tier compensation.

What are some common challenges faced by remote software engineers in high-paying roles, and how can they be addressed?

Remote software engineers, especially in high-paying positions, often encounter challenges such as time zone differences, maintaining clear communication with distributed teams, and ensuring productivity without in-person supervision. To address these, it's important to leverage collaboration tools, set clear expectations with team members, and proactively communicate progress and blockers. Regular virtual meetings and structured daily routines can also help maintain alignment and foster a sense of connection within the team.

What is the difference between Remote Software Engineer 300K vs Remote Developer 300K?

AspectRemote Software Engineer 300KRemote Developer 300K
Required CredentialsBachelor's in CS or related field, coding skillsBachelor's in CS or related field, coding skills
Work EnvironmentRemote, collaborative teams, Agile workflowsRemote, project-based, Agile or Scrum teams
Industry UsageTech, finance, startups, enterpriseTech, SaaS, startups, consulting
Common Search IntentHigh-level engineering roles, salary expectationsDevelopment roles, salary comparison

Both Remote Software Engineer 300K and Remote Developer 300K roles require similar technical credentials and often operate in remote, collaborative environments across various industries. The main difference lies in job focus: software engineers typically work on system architecture and complex coding, while developers may focus more on application development. Candidates should choose based on their specific skills and career goals.

What are the most commonly searched types of Software Engineer 300K jobs in Alaska?

The most popular types of Software Engineer 300K jobs in Alaska are:

What are popular job titles related to Remote Software Engineer 300K jobs in Alaska?

For Remote Software Engineer 300K jobs in Alaska, the most frequently searched job titles are:

What job categories do people searching Remote Software Engineer 300K jobs in Alaska look for?

The top searched job categories for Remote Software Engineer 300K jobs in Alaska are:

What cities in Alaska are hiring for Remote Software Engineer 300K jobs?

Cities in Alaska with the most Remote Software Engineer 300K job openings:

Infographic showing various Remote Software Engineer 300K job openings in Alaska as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Generative AI Automation Engineer - Remote Job

Fairbanks, AK • Remote

EnthuZiastic
E-Learning • 11 - 50 employees

Full-time

Re-posted 19 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.