2

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

Technical Data Steward

OR · Remote

$60 - $70/hr

Remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract The Technical ... Partner with: o Business Data Stewards o Data Owners o Data Engineering / IT teams * Translate ...

Bachelor's degree, ideally in technology, engineering, marketing or business-related field; related ... LI-Remote We Are Sapiens International Corporation N.V. is a global leader of AI-centric, SaaS ...

Remote Employment Type: Full-Time Travel: As required by client (typically 10-20%) Eligibility ... Our AI & Analytics practice is at the forefront of this mission, delivering innovative solutions ...

Manager Implementation

OR · Remote

$105K - $141K/yr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Collaborate with Architecture & Engineering and IP & Voice Ops on architectural and configuration ...

New

Sr. Business Analyst, Reinsurance

OR · On-site +1

$86K - $112K/yr

Location - US or Canada, Remote Position Summary: The Senior Business Analyst operates under ... Works as the liaison between client stakeholders, project team members, software engineers and ...

Showing results 41-46

Remote Ai Engineer information

See Remote, OR salary details

$25

$53

$76

How much do remote ai engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote ai engineer in Remote, OR is $53.58, according to ZipRecruiter salary data. Most workers in this role earn between $43.22 and $62.21 per hour, depending on experience, location, and employer.

What is a remote AI engineer?

A Remote AI Engineer is a professional who designs, develops, and deploys artificial intelligence models and systems while working from a remote location. They use machine learning, deep learning, and data science techniques to build AI-powered applications, improve automation, and solve complex problems. Responsibilities often include data preprocessing, model training, fine-tuning, and integrating AI solutions into products or services. These engineers collaborate with cross-functional teams online, using cloud-based tools and platforms for development and deployment. Remote AI Engineers typically need strong programming skills in languages like Python, experience with frameworks like TensorFlow or PyTorch, and familiarity with cloud computing and MLOps.

What is it like collaborating with team members as a remote AI engineer?

As a Remote AI Engineer, collaboration typically occurs through virtual meetings, code reviews, shared documentation, and messaging platforms like Slack or Teams. You will work closely with data scientists, product managers, and software engineers to define requirements, design solutions, and integrate AI models into products or services. Strong communication and proactive reporting are highly valued to ensure project alignment and seamless progress. Effective collaboration in a remote setting not only enhances project outcomes but also fosters professional growth and a sense of team cohesion.

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Technical Data Steward

System One

OR • Remote

$60 - $70/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

System One is hiring for a Technical Data Steward If this role interests you, please respond and I will reach out to you!

Job Title: Technical Data Steward
Location: Remote
Pay Rate: Open to Both C2C and W2 options 
Position Type: Multiyear Contract
The Technical Data Steward is responsible for the technical data management,
governance, integrity and quality of Human Resources data assets for the HR Data
Warehouse (Azure) and its platforms. This role ensures that data is properly defined,
secured, governed, and usable across systems by partnering with HR business stewards, HR Data Analytics team, engineering teams, and stakeholders.
Basic Description
Provide technical data stewardship support to the HR Data Analytics team in managing, governing, and optimizing HR data assets. This role ensures data is accurate, secure, and aligned with enterprise data governance standards to support analytics, reporting, and strategic initiatives.
Responsibilities
1. Data Governance & Standards
• Implement and enforce enterprise data governance policies, standards, and
procedures
• Ensure execution of governance workstreams, including:
o Metadata management
o Enterprise quality controls
o AI ready metadata
o Data quality
o Data lifecycle management
o Policies and standards compliance
• Monitor adherence to technical data standards and drive compliance across the
business area
2. Data Management & Technical Oversight
• Own technical data decisions on behalf of the Business Data Owner
• Provide subject matter expertise on:
o Source systems
o Data stores and warehouses
o ETL processes and pipelines
o Business intelligence tools
• Ensure proper implementation of data across systems and platforms
3. Metadata, Lineage & Cataloging
• Build and maintain a data catalog, including metadata and business glossary
• Ensure data definitions, rules, and standards are clearly documented and
consistently applied
• Capture and maintain data lineage (end-to-end technical flows)
4. Data Quality & Issue Resolution
• Drive root cause analysis of data quality issues and coordinate resolution with
Enterprise data and HR Analytics teams
• Assist in design and implementation data quality audits, controls, and monitoring
tools
• Plan and lead data cleansing and remediation initiatives
5. Security & Risk Management
• Partner with Information Security, HR Data Governance and HR Data teams to
implement controls such as:
o Role-based access (RBAC)
o Persona based access
o Row level access
o Encryption and data protection standards
• Ensure data confidentiality, integrity, and availability across platforms
6. Stakeholder Collaboration
• Partner with:
o Business Data Stewards
o Data Owners
o Data Engineering / IT teams
• Translate business requirements into technical data solutions
• Communicate impacts of data decisions across stakeholder groups
Qualifications and Skill Requirements
• Ability to work seamlessly and professionally across multiple business units and
with all levels of the organization
• Oracle HCM / PeopleSoft data experience
• Cloud data platforms (Azure Data Lake, Power BI)
• Data warehousing concepts (Azure)
• Data integration / ETL processes (SQL Server, DataBricks, Azure)
• Data quality and data lifecycle management
• Enterprise platforms (e.g., data catalogs, BI tools, integration tools)
• Data governance frameworks and best practices
• Metadata management, lineage, and cataloging
• Master data management (MDM)
• Experience implementing data governance capabilities across an organization
Desired Skills
• Strong analytical and problem-solving skills
• Ability to translate complex technical concepts for non-technical stakeholders
• Attention to detail and commitment to data accuracy
• Effective cross-functional communication and collaboration
• Oracle HCM / PeopleSoft data experience
• Cloud data platforms (Azure Data Lake, Power BI)
• Regulatory and HR reporting alignment

Company Description

System One is a leading provider of specialized, highly technical services and solutions to critical infrastructure, technology, life sciences, and government sectors. We partner with large private and public organizations who trust us to execute their complex, mission-critical initiatives through our outsourced services and workforce solutions.