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Remote Knowledge Manager Jobs in Anchorage, AK (NOW HIRING)

ABB

Senior Project Engineer

Anchorage, AK · Remote

$101K - $132K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Strong knowledge of power distribution systems, protection & control, and critical power ...

DOWL

Accounting Specialist Lead

Anchorage, AK · On-site +1

$21.75 - $29.25/hr

... remote bank deposit processing. * Coordinate project accounting activities with project Managers ... Job Knowledge, Skills, and Abilities * Highly meticulous and organized in work. * Strong verbal and ...

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All JobsKnowledge JobsRemote Knowledge Manager JobsRemote Knowledge Manager Jobs in Anchorage, AK

Remote Knowledge Manager information

See Anchorage, AK salary details

$29.6K

$106.9K

$120.6K

How much do remote knowledge manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote knowledge manager in Anchorage, AK is $106,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $119,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Knowledge Manager vs Remote Content Specialist?

AspectRemote Knowledge ManagerRemote Content Specialist
CredentialsTypically requires knowledge management certifications or related degreesOften holds marketing, communications, or content creation certifications
Work EnvironmentFocuses on managing organizational knowledge, databases, and information systemsCreates, edits, and manages digital content for various platforms
Industry UsageCommon in corporate, tech, and educational sectorsPrevalent in marketing, media, and publishing industries
Search & Comparison IntentOften compared for roles involving information management and organizational knowledgeCompared when looking at digital content creation and management roles

The Remote Knowledge Manager primarily handles organizing and maintaining company knowledge bases and information systems, requiring specific knowledge management skills. In contrast, the Remote Content Specialist focuses on creating and managing digital content for marketing or communication purposes. While both roles are remote and involve information handling, their core functions and industry applications differ significantly.

What are popular job titles related to Remote Knowledge Manager jobs in Anchorage, AK?

For Remote Knowledge Manager jobs in Anchorage, AK, the most frequently searched job titles are:

What job categories do people searching Remote Knowledge Manager jobs in Anchorage, AK look for?

The top searched job categories for Remote Knowledge Manager jobs in Anchorage, AK are:

Remote Knowledge Manager jobs near you
Infographic showing various Remote Knowledge Manager job openings in Anchorage, AK as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 13% In-person, and 87% Remote job distribution, with an average salary of $106,874 per year, or $51.4 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Anchorage, AK • Remote

Full-time

Re-posted 13 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