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Remote Contract Engineer Jobs in Riverside, CA (NOW HIRING)

Senior Project Engineer

Irvine, CA ยท On-site +1

$105K - $136K/yr

... in accordance with contract specifications, quality standards, safety requirements, and ... Remote This role is contributing to the Electrification division in the United States. You will be ...

Senior Project Engineer

La Verne, CA ยท On-site +1

$98K - $128K/yr

... in accordance with contract specifications, quality standards, safety requirements, and ... Remote This role is contributing to the Electrification division in the United States. You will be ...

S. office located within the Pacific or Mountain Time Zones with the opportunity for remote work ... Collaborate with project team (e.g., Engineer and Superintendent) to confirm Contract Item List ...

Contract length: through FY26 (June 30) + extension * 100% remote (must be available PST hours) Position Overview We are seeking a highly skilled Senior PeopleSoft Developer with extensive experience ...

S. office located within the Pacific or Mountain Time Zones with the opportunity for remote work ... Collaborate with project team (e.g., Engineer and Superintendent) to confirm Contract Item List ...

S. office located within the Pacific or Mountain Time Zones with the opportunity for remote work ... Collaborate with project team (e.g., Engineer and Superintendent) to confirm Contract Item List ...

Outside Sales Representative

San Dimas, CA ยท Remote

$95K - $125K/yr

Remote / Flexible (Global Travel Required) Employment Type: Full-Time Compensation: $95,000$125,000 ... Our engineered solutions protect critical systems, ensure operational reliability, and meet the ...

Peoplesoft Payroll Developer * Full time contract (1099/C2C) * 100% remote (PST) Scope of Work / Responsibilities * Participate in development activities for our direct, higher education client ...

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Remote Contract Engineer information

See Riverside, CA salary details

$31

$51

$103

How much do remote contract engineer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote contract engineer in Riverside, CA is $51.05, according to ZipRecruiter salary data. Most workers in this role earn between $42.88 and $52.93 per hour, depending on experience, location, and employer.

How do Remote Contract Engineers typically manage communication and collaboration with project teams across different time zones?

Remote Contract Engineers often work with teams distributed globally, which can present challenges related to communication and coordination. They usually rely on project management tools, scheduled video meetings, and clear documentation to stay aligned with teammates and project goals. Flexibility with working hours and proactive communication are key to addressing time zone differences, ensuring deadlines are met and any issues are resolved quickly. Building strong relationships with team members and regularly updating progress helps maintain project momentum and fosters a collaborative environment.

What are the key skills and qualifications needed to thrive as a Remote Contract Engineer, and why are they important?

To thrive as a Remote Contract Engineer, you need a solid background in engineering principles, relevant technical expertise, and typically a degree in engineering or a related field. Familiarity with project management tools, CAD software, and remote collaboration platforms is often required, along with applicable certifications such as a Professional Engineer (PE) license. Strong self-motivation, time management, and clear communication skills help you excel when working independently and with distributed teams. These skills and qualifications are essential to consistently deliver high-quality results, maintain client satisfaction, and ensure efficient project execution from a remote environment.

What is a Remote Contract Engineer?

A Remote Contract Engineer is a professional who provides engineering services to companies or clients on a contract basis, working remotely rather than onsite. They may handle tasks such as designing, developing, testing, or maintaining engineering projects, depending on their area of expertise. Remote Contract Engineers often work independently or as part of distributed teams, using digital collaboration tools to communicate and deliver their work. The nature of their contracts can vary in length and scope, offering flexibility to both the engineer and the employer.
What are popular job titles related to Remote Contract Engineer jobs in Riverside, CA? For Remote Contract Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What cities near Riverside, CA are hiring for Remote Contract Engineer jobs? Cities near Riverside, CA with the most Remote Contract Engineer job openings:

Machine Learning Engineer (Hybrid- Greenfield Opportunity)

Match Made Tech

Irvine, CA โ€ข On-site, Remote

$75 - $95/hr

Other

Posted 2 days ago


Job description

AI/ML Engineer - Greenfield AI Project

UNABLE TO OFFER SPONSORSHIP- US CITIZENS & GREEN CARD ONLY

LOCATION: Irvine, CA (onsite). Monday through Thursday onsite, Fridays remote.

SPONSORSHIP NOT AVAILABLE- MUST BE US CITIZEN/ GREEN CARD HOLDER

COMPENSATION: $75-95 an hour. This is a 2-year contract that will convert to full-time.

About Us

We are on a mission to develop innovative AI solutions that will revolutionize our workforce. As we embark on an exciting new greenfield AI project, we are seeking an exceptional AI/ML Engineer to join our team and lead the development of machine learning models as part of this groundbreaking initiative.

Job Description

About the Role

We are seeking a skilled AI/ML Engineer to join our team to design, develop, and deploy machine learning models that solve real-world business challenges. You will work cross-functionally with data scientists, engineers, and product teams to bring cutting-edge AI solutions to production, with a strong focus on NLP, supervised learning, experimentation, and optimization.

Key Responsibilities
  • Model Development & Training
    • Collaborate with data scientists and stakeholders to translate project goals into scalable ML solutions.
    • Design, develop, and train models using state-of-the-art machine learning techniques and tools.
    • Select appropriate annotated datasets and transform raw data into machine learning-ready formats.
  • Data Preparation & Feature Engineering
    • Analyze and process structured/unstructured data for training and evaluation.
    • Develop feature extraction and selection pipelines to improve model performance.
  • Experimentation & Optimization
    • Run controlled experiments and perform statistical analysis to validate models.
    • Refine model hyperparameters and evaluation metrics for optimal performance.
  • Deployment & Integration
    • Work closely with ML Ops to deploy and monitor models in production environments.
    • Ensure all models are integrated seamlessly into existing systems.
  • Collaboration & Code Quality
    • Participate in code reviews, pair programming, and knowledge-sharing sessions.
    • Write testable, production-quality code that aligns with engineering best practices.
Qualifications & Skills
  • 3โ€“5 years as an ML/AI Engineer or 1โ€“3 years in an ML/AI leadership role
  • Proven experience building and deploying machine learning models in production
  • Solid understanding of classical ML algorithms (classification, regression, clustering)
  • Experience working with changing datasets and real-time data pipelines
  • Hands-on experience with Python and frameworks like PyTorch, TensorFlow, Scikit-learn
  • Strong knowledge of data processing (ETL), feature engineering, and statistical evaluation
  • Solid understanding of REST APIs, CI/CD, and containerized deployments (Docker, Kubernetes)
  • Strong communication, analytical thinking, and problem-solving skills
  • Bachelor's degree in Computer Science, Mathematics, Engineering, or a related quantitative field
Preferred Qualifications (Nice-to-Have)
  • Master's or PhD degree in Computer Science, Engineering, or a related field
  • Experience with neural networks and deep learning applications in computer vision, time-series analysis, or reinforcement learning
  • Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker, etc.)
  • Exposure to cloud platforms (AWS, GCP, Azure)
  • Familiarity with version control and experimentation tracking tools
  • Basic knowledge of data governance, security, and compliance standards