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Remote Generative Ai Jobs in Portland, OR (NOW HIRING)

Autodesk

Senior Manager, Data Security

Portland, OR · On-site +1

$121K - $166K/yr

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... generative AI surfaces * Build and maintain cloud data security controls across AWS, Azure, and GCP ...

Cisco

Senior Software Engineer (Remote)

Portland, OR · Remote

$129K - $171K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Ability to use AI/ML or generative AI to solve security problems, such as automated threat ...

Cisco

Senior Software Engineer

Portland, OR · On-site +1

$129K - $171K/yr

This is a remote position anywhere in the USA. Meet the Team Our software engineering team develops ... Ability to use AI/ML or generative AI to solve security problems, such as automated threat ...

All JobsGenerative Ai JobsRemote Generative Ai JobsRemote Generative Ai Jobs in Portland, OR

Remote Generative Ai information

See Portland, OR salary details

$17K

$157.2K

$202.6K

How much do remote generative ai jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote generative ai in Portland, OR is $157,202.00, according to ZipRecruiter salary data. Most workers in this role earn between $154,300.00 and $177,600.00 per year, depending on experience, location, and employer.

What is a remote generative AI?

A Remote Generative AI job involves working with artificial intelligence systems that can create new content, such as text, images, or music, from data. These roles are performed remotely, allowing professionals to work from anywhere while developing, training, and deploying generative models like GPT or DALL-E. Job responsibilities may include data preparation, model training, evaluation, and integrating generative AI solutions into products or services. Professionals in this field often collaborate with teams online using cloud-based tools and communication platforms.

What skills and qualifications are needed to thrive as a remote generative AI specialist?

To thrive as a Remote Generative AI Specialist, you need strong expertise in machine learning, deep learning, and programming languages like Python, often supported by a degree in computer science or a related field. Proficiency with frameworks such as TensorFlow or PyTorch, cloud platforms, and relevant certifications (e.g., Google Cloud ML Engineer) is highly beneficial. Effective problem-solving, self-motivation, and clear communication are crucial for collaborating remotely and driving innovative AI solutions. These skills ensure you can develop, deploy, and improve generative AI models efficiently in distributed work environments.

What are common challenges faced by remote generative AI professionals and how can they be addressed?

Remote Generative AI professionals often face challenges such as collaborating effectively across time zones, ensuring data security, and staying updated with rapidly evolving AI technologies. To overcome these, it's important to establish clear communication channels, utilize version control and collaboration tools, and participate in regular team meetings. Additionally, investing time in continuous learning through online courses and AI research communities can help professionals stay current with industry advancements.

What is the difference between Remote Generative Ai vs Data Scientist?

AspectRemote Generative AiData Scientist
Required CredentialsKnowledge of AI/ML, programming skills, familiarity with NLP and deep learningStatistics, programming, data analysis, often a degree in CS, stats, or related fields
Work EnvironmentRemote, collaborative teams, AI research labs, tech companiesRemote or on-site, data analysis teams, research or business units
Industry UsageDeveloping AI models, creating generative content, NLP applicationsAnalyzing data, building predictive models, informing business decisions

Remote Generative Ai specialists focus on creating AI models that generate content, requiring expertise in AI/ML and programming. Data Scientists analyze data to extract insights and build models, often with similar technical backgrounds. While both roles may work remotely and in tech industries, their core functions differ: one develops generative AI systems, the other interprets data for strategic insights.

What are the best remote generative AI jobs?

Remote generative AI jobs include roles such as AI research scientist, machine learning engineer, and data scientist, focusing on developing and deploying AI models like GPT or DALL·E. These positions often require skills in programming, deep learning frameworks, and experience with large language models, with many opportunities available through tech companies, research institutions, and startups. They typically offer flexible schedules and may require certifications or advanced degrees in computer science or related fields.

What jobs can I get with remote generative AI?

Remote generative AI skills can qualify you for roles such as AI content developer, machine learning engineer, data scientist, or AI research scientist. These positions often require knowledge of AI frameworks, programming languages like Python, and experience with large language models or neural networks. Many of these jobs are available in tech companies, research institutions, and startups, often with flexible schedules and remote work options.

What are the most commonly searched types of Generative Ai jobs in Portland, OR?

The most popular types of Generative Ai jobs in Portland, OR are:

What are popular job titles related to Remote Generative Ai jobs in Portland, OR?

For Remote Generative Ai jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Remote Generative Ai jobs in Portland, OR look for?

The top searched job categories for Remote Generative Ai jobs in Portland, OR are:

What cities near Portland, OR are hiring for Remote Generative Ai jobs?

Cities near Portland, OR with the most Remote Generative Ai job openings:

Remote Generative Ai jobs near you
Infographic showing various Remote Generative Ai job openings in Portland, OR as of August 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 100% Remote job distribution, with an average salary of $157,202 per year, or $75.6 per hour.

Senior Technical Product Manager

Absci Corporation

Vancouver, WA • On-site, Remote

$145K - $180K/yr

Full-time

Medical, Dental, Vision

Posted 8 days ago

Job description

About Absci
Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. Our Integrated Drug Creation™ platform combines cutting-edge AI models with a synthetic biology data engine, enabling the rapid design of innovative therapeutics that address challenging therapeutic targets.
Absci is a global company headquartered in Vancouver, WA, and maintains offices in New York City, Switzerland, and Serbia. Learn more at www.absci.com or follow us on LinkedIn (@absci), X (@Abscibio), and YouTube.
Senior Technical Product Manager (AI Research & Development)
Remote within the United States. Hybrid work available in Vancouver, WA; New York City, NY.
We are currently seeking a Senior Technical Product Manager to join our AI Research and Development team. You will be responsible for developing and executing on the vision, strategy, and deployment of both AI and Lab Products at Absci. You will drive small, interdisciplinary teams of Artificial Intelligence (AI) and Machine Learning (ML) Researchers, Software Engineers, Structural Biologists, and Screening Scientists to build delivery platforms that allow us to design, optimize, and validate biologics for treating conditions like cancer, autoimmune diseases, and infectious diseases. You will serve as a bridge between our AI Research and Biologics Discovery Technology teams, leading initiatives surrounding the development and/or application in one of two key areas:
AI-Guided Target Identification: An AI platform that leverages genetic-based evidence to discover novel target-indication pairs and de-risk in vivo or ex vivo pathway validation.
AI-Guided Drug Design: A platform that uses generative AI to design and optimize antibody-based drugs to grow Absci's internal pipeline and deliver on external partnerships.
Responsibilities:
  • Gather and synthesize product requirements from AI, Engineering, and Wet Lab Scientists and Business Development teams, then drive alignment with leadership for actionable product strategy
  • Own product roadmaps with decisive precision and bias for action; make trade-off decisions between competing priorities and risk
  • Partner with managers and technical leads with diverse backgrounds and areas of expertise to establish a cohesive product vision
  • Build detailed roadmaps, backlogs, and execution plans for assigned domain; partner with management to define OKRs and KPIs; track performance and adjust strategy based on data
  • Lead cross-functional teams through product initiatives from conception through deployment and optimization, proactively identifying and removing any blockers
  • Conduct research with product team and potential users to understand needs, pain points, and opportunities
  • Drive adoption and successful deployment of products within internal programs and external partnerships

Qualifications:
  • Bachelor's degree in Computer Science, Bioinformatics, Data Science, Engineering, Life Sciences, or related field
  • At least 5 years of professional experience working on production-grade software or technical products development
  • 3+ years of working or educational experience in AI/ML and/or Protein Engineering
  • Strong technical knowledge to enable effective collaboration with world-class engineers and scientists
  • Proven track record of creating and executing on product roadmaps to deliver high-impact work
  • Demonstrated ability to manage complex stakeholder relationships across diverse teams
  • Excellent written and oral communication skills; ability to explain complex technical and business concepts
  • Excellent organizational skills and ability to manage multiple competing priorities
  • Comfortable working in a fast-paced environment with autonomy, accountability, and bias for action

Preferred (but not required):
  • Masters or PhD degree in relevant field
  • Experience in the Biotech or Pharmaceutical Industries
  • Experience with generative AI (GenAI), NLP, or computer vision, large language models (LLMs), or protein language models
  • Experience with MLOps tools such as Weights & Biases
  • Deep knowledge of bioinformatics, computational protein design, computational genomics, immunology, structural biology, antibody engineering, or related fields
  • Experience with NGS, SPR, or Flow Cytometry data
  • Experience as an agile coach, product owner, or Scrum Master

The salary range for US-based employees in this position is $145,000 - $180,000/year. Competitive equity package applies. Pay offered may vary depending on job-related knowledge, skills, and experience. In addition to equity, compensation packages include a wide range of medical, dental, vision benefits and ability to participate in our employee stock purchase plan.
Legal authorization to work in the United States is required. Absci is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, sexual orientation, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, marital status, or any characteristic protected under applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which they have applied should make a request to the recruiter or hiring manager, or contact hiring@absci.com.

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