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

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

Apply Generative AI tools to streamline development workflows and enhance product quality ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $125,000.00-$165,000.00 USD ...

New

Apps AI Solution Architect AMS

OR · On-site +1

$59 - $77.75/hr

North America (Remote) Role Summary The Apps AI Architect will play a pivotal role in transforming ... including Generative and Agentic AI) across the full application lifecycle - from design and ...

Apps AI Solution Architect AMS

OR · Remote

$59 - $77.75/hr

North America (Remote) Role Summary The Apps AI Architect will play a pivotal role in transforming ... including Generative and Agentic AI) across the full application lifecycle - from design and ...

Remote Generative Ai information

See Remote, OR salary details

$16K

$148.1K

$190.8K

How much do remote generative ai jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote generative ai in Remote, OR is $148,087.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,400.00 and $167,300.00 per year, depending on experience, location, and employer.

What are some 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 are the key skills and qualifications needed to thrive as a Remote Generative AI Specialist, and why are they important?

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.

Which 3 jobs will survive AI?

For remote generative AI roles, jobs that require complex human judgment, creativity, and emotional intelligence are most likely to survive AI automation. These include roles like AI ethicists, creative professionals, and AI system trainers who need specialized skills, domain expertise, and critical thinking. Such jobs often involve oversight, nuanced decision-making, and interpersonal skills that are difficult for AI to replicate fully.

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 is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such roles are rare and highly competitive, often found in large tech companies or innovative startups.

Can you work in AI remotely?

Remote Generative AI roles are common in the industry, allowing professionals to work from various locations. These jobs often require strong skills in machine learning, programming, and familiarity with cloud-based tools, and may involve collaboration through online platforms. Many companies offer flexible schedules for AI specialists working remotely.

How can I make 2000 a week working from home?

Remote Generative AI roles can offer high earning potential through freelance projects, consulting, or full-time positions that pay based on project scope or hourly rates. Building specialized skills in AI, machine learning, and natural language processing, along with a strong portfolio and proficiency with tools like Python and TensorFlow, can help increase earning capacity to reach or exceed $2000 weekly. Consistent work, networking, and staying updated on industry demand are key factors in achieving this income level remotely.

What is a Remote Generative AI job?

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 are popular job titles related to Remote Generative Ai jobs in Remote, OR? For Remote Generative Ai jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Remote Generative Ai jobs in Remote, OR look for? The top searched job categories for Remote Generative Ai jobs in Remote, OR are:
What cities near Remote, OR are hiring for Remote Generative Ai jobs? Cities near Remote, OR with the most Remote Generative Ai job openings:
Sr. Data Analytics Engineer

Sr. Data Analytics Engineer

Under Armour, Inc.

OR • On-site, Remote

$125K - $165K/yr

Other

Medical, Retirement

Posted 2 days ago


Under Armour rating

7.0

Company rating: 7.0 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

16th of 102 rated fashion retailers


Job description

Values & Innovation

At Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality - serve as both a roadmap for our teams and the qualities expected of every teammate.

Our Values define and unite us, the beliefs that are the red thread that connects everyone at Under Armour. Our values are rallying cries, reminding us why we're here, and fueling everything we do.

Our pursuit of better begins with innovation and with our team's mission of being the best. With us, you get the freedom to go further - no matter your role. That means developing, delivering, and selling the state-of-the-art products and digital tools that make top performers even better.

If you are a current Under Armour teammate, apply to this position on the Internal Career Site Here. 

Purpose of Role

Under Armour is seeking a highly motivated Sr. Data Analytics Engineer to join our Enterprise Data Management & Analytics team. This role plays a key part in enabling decision intelligence by building scalable data transformation frameworks and data products. As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will lead complex programs, mentor junior engineers, and influence architectural direction across product decision teams. Partnering with Analytics, Automation & AI, and Governance teams, you will deliver trusted data products that drive smarter, faster decisions. 

Your Impact

Data Engineering & Architecture:

  • Lead data model design, semantic layer definition, and scalable ELT architecture.  
  • Design and deliver advanced data models, automation workflows, and decision-intelligence solutions.  
  • Build high-quality analytical datasets and visualization-optimized data structures.  

Quality, CI/CD & Operational Excellence:

  • Own CI/CD deployment pipelines and release management processes.  
  • Drive engineering best practices include testing, observability, modular modeling, and documentation.  
  • Optimize Snowflake warehouse performance, cost efficiency, RBAC, and semantic layer design.  
  • Lead root-cause analysis and long-term fixes for complex data issues.  

Leadership & Collaboration: 

  • Mentor junior engineers and uplift engineering maturity across squads.  
  • Facilitate stakeholder sessions to translate business requirements into scalable data products.  
  • Influence architectural decisions and emerging-technology adoption.  
  • Partners across EDMA, AI/Automation, Platform, and Governance teams.  
  • Responsible for on-call support and proactive monitoring of the EDMA platform to ensure seamless production operations and support for teams across all regions. 

AI Enablement:

  • Apply Generative AI tools to streamline development workflows and enhance product quality.  
  • Contribute to the design of AI-enabled automation solutions.  
Qualifications
  • Bachelor's degree with typically 5 years of relevant experience or Master's degree with typically 3 years of relevant experience or typically 9 years of relevant work experience without a degree.  
  • Expert SQL abilities with mastery in complex data transformation patterns.  
  • Deep expertise in data modeling, ELT design, and enterprise data architecture.  
  • Proven ability to design scalable data apps, automation pipelines, and decision-intelligence solutions.  
  • 4+ Years of experience with Tableau or similar analytics platforms.  
  • 5+ Years of dbt experience (modular modeling, testing, documentation, governance) or equivalent.  
  • 2+ Years of experience & strong background in CI/CD engineering best practice.  
  • 5+ Years of Snowflake experience (VWH optimization, RBAC, cost/performance engineering, semantic layer design).  
  • Advanced Python for automation, orchestration, and engineering workflows.  
  • Working knowledge of automation tools (e.g., Elementum).  
  • Strong capability to influence architecture, mentor peers, and drive emerging technology adoption.  
  • Generative AI applies responsibly to accelerate development and improve quality.  
  • Experience with AI Coding Assistants (e.g. GitHub Copilot, Claude, Cursor, Cortex Code).
  • Skilled at bridging the gap between technical depth and business clarity through impactful communication. 
Workplace Location
  • Location: This individual must reside within commuting distance from our Baltimore HQ office.
  • Work Schedule: Candidates must reside within a commutable distance to our corporate headquarters in Baltimore, Maryland, as periodic on-site attendance may be required  
  • Travel: Minimal
  • Licenses/Certifications: N/A
  • Sponsorship Eligibility: UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time.

#LI-SA1

#REMOTE

#HYBRID

Relocation
  • No relocation provided
Base Compensation

 $125,000.00-$165,000.00 USD

Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual's relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package.

Benefits & Perks
  • Paid "UA Give Back" Volunteer Days: Work alongside your team to support initiatives in your local community
  • Under Armour Merchandise Discounts
  • Competitive 401(k) plan matching
  • Maternity and Parental Leave for eligible and FMLA-eligible teammates
  • Health & fitness benefits, discounts and resources- We offer teammates across the country programs to promote physical activity and overall well-being
Our Commitment to Equal Opportunity

At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. If a reasonable accommodation is needed to participate in the job application or interview process, please contact our Human Resources team via candidateaccommodations@underarmour.com.


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