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Remote Grader Operator Jobs in Santa Rosa, CA (NOW HIRING)

eNett

Senior Backend Engineer - AI Platform

Bodega Bay, CA · On-site +1

$145K - $191K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Operating at the vanguard of generative AI, distributed systems, and fintech, you will empower WEX ...

WEX

Senior Backend Engineer - AI Platform

Bodega Bay, CA · On-site +1

$145K - $191K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Operating at the vanguard of generative AI, distributed systems, and fintech, you will empower WEX ...

All JobsGrader Operator JobsRemote Grader Operator JobsRemote Grader Operator Jobs in Santa Rosa, CA

Remote Grader Operator information

See Santa Rosa, CA salary details

$10

$18

$33

How much do remote grader operator jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for remote grader operator in Santa Rosa, CA is $18.68, according to ZipRecruiter salary data. Most workers in this role earn between $12.60 and $22.07 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Grader Operator, you need experience in heavy equipment operation, a valid equipment operator’s license, and a strong understanding of safety protocols. Familiarity with GPS grading systems, telematics software, and remote control technology is typically required. Attention to detail, problem-solving skills, and effective communication set standout operators apart. These competencies ensure precise grading, safe operations, and efficient collaboration with jobsite teams, all of which are critical for successful project outcomes.

How much does a grader operator make?

A grader operator typically earns between $15 and $30 per hour, depending on experience, location, and the complexity of the equipment operated. The annual salary can range from approximately $30,000 to $60,000 for full-time positions. Skills in equipment maintenance and safety are often required for higher-paying roles.

What are some common challenges faced by a Remote Grader Operator and how can they be addressed?

Remote Grader Operators often encounter challenges related to communication and coordination with on-site teams, as they typically operate heavy machinery from a distance. Ensuring real-time feedback and clarity in instructions is vital to maintaining safety and efficiency. Additionally, adapting to different site conditions remotely can require strong problem-solving skills and the ability to quickly interpret digital data or camera feeds. Building a strong rapport with on-site supervisors and participating in regular virtual check-ins can help overcome these challenges and ensure smooth operations.

What is the difference between Remote Grader Operator vs Remote Test Scorer?

AspectRemote Grader OperatorRemote Test Scorer
Required CredentialsHigh school diploma or equivalent; training in grading proceduresHigh school diploma or equivalent; training in scoring guidelines
Work EnvironmentRemote, computer-based; often flexible hoursRemote, computer-based; often flexible hours
Industry UsageEducation, testing companies, certification bodiesEducation, testing companies, certification bodies
Common Search IntentComparing roles in grading student workComparing roles in scoring exams or tests

The main difference between a Remote Grader Operator and a Remote Test Scorer lies in their specific tasks. Grader Operators typically evaluate assignments, essays, or projects, focusing on qualitative assessment, while Test Scorers usually evaluate multiple-choice or objective test responses. Both roles require similar credentials and work environments, often performed remotely for educational or testing organizations.

What jobs pay 4000 a week without a degree?

Remote Grader Operators typically do not earn $4,000 a week; such high weekly pay is uncommon without specialized skills or certifications. Jobs that can pay this amount often include high-level sales, freelance consulting, or skilled trades, but these usually require experience or specific training rather than a degree. Most high-paying roles focus on experience, performance, or niche expertise rather than formal education alone.

What are Remote Grader Operators?

Remote Grader Operators are professionals who operate motor graders, often in construction, mining, or road maintenance projects, but do so using remote control systems rather than being physically present in the machine. This allows them to perform grading, leveling, and earthmoving tasks from a distance, which can improve safety and efficiency, especially in hazardous environments. Remote operation technology is increasingly used to minimize risks and make it possible to control machinery from secure locations, sometimes even offsite. These operators must have strong technical skills and an understanding of both machinery and remote control systems.

How to make $1000 a week remotely?

A remote grader operator can potentially earn $1000 a week by working full-time hours, which typically requires consistent, accurate grading skills and familiarity with online platforms. Increasing earnings may involve taking on multiple projects, improving efficiency, or gaining specialized knowledge to qualify for higher-paying assignments. Earnings vary based on workload, experience, and the organization’s pay structure.

How can I make 2000 a week working from home?

A remote grader operator can potentially earn $2,000 a week by working full-time hours, often requiring strong attention to detail, familiarity with grading software, and consistent performance. Increasing income may involve taking on multiple clients, working overtime, or gaining specialized skills to qualify for higher-paying assignments.
What are popular job titles related to Remote Grader Operator jobs in Santa Rosa, CA? For Remote Grader Operator jobs in Santa Rosa, CA, the most frequently searched job titles are:
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What cities near Santa Rosa, CA are hiring for Remote Grader Operator jobs? Cities near Santa Rosa, CA with the most Remote Grader Operator job openings:
Remote Grader Operator jobs near you

Senior Backend Engineer - AI Platform

eNett

Bodega Bay, CA • On-site, Remote

$145K - $191K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Boston, MA; San Francisco Bay Area, CA; Dallas, TX; Salt Lake City, UT; Seattle, WA; and Portland, ME

About the Team/Role


We are seeking a seasoned Sr. Software Engineer in the North America Mobility organization. This role will sit in the Platform team that focuses on building AI Platform to support the feature development team to build robust features faster. You will contribute to the architecting and realization of our next-generation Agentic AI Platform. Within this capacity, you will be responsible for the design, development, and deployment of autonomous AI agents, skills, MCP servers, AI tools engineered for advanced reasoning, strategic planning, and the orchestration of intricate financial and operational workflows. Operating at the vanguard of generative AI, distributed systems, and fintech, you will empower WEX to deliver highly intelligent, proactive solutions to an expansive global user base.

Our Platform team is dedicated to architecting scalable, robust, and maintainable UI and API platform solutions that empower internal feature development teams to build at velocity. Within the NAM Mobility ecosystem, our products facilitate strategic credit issuance to fleet organizations and their workforce through WEX-branded or co-branded credit instruments, accepted across a vast network of fueling stations and merchant partners. We provide fleet managers and operators with advanced spend orchestration capabilities, encompassing fuel discounts and sophisticated spend controls that permit precise configuration of merchant restrictions, transaction limits, and velocity thresholds to optimize operational efficiency.


How you'll make an impact:

  • Design, develop, and maintain robust, scalable, and high-performance object oriented code in our backend services.
  • Develop public REST APIs using Java and internal gRPC APIs for inter-service and inter-system communication.
  • Craft systems designs, lead design decisions, and drive alignment with other senior engineers.
  • Write automated unit tests, integration tests, end-to-end tests, concurrency tests, load/performance tests.
  • Analyze existing systems to identify bottlenecks, tech debt, and implement scalability, and stability improvements.
  • Implement automation for testing, monitoring, healing, and scaling applications, continuous integration and deployment to reduce time to market.
  • Collaborate with cross-functional teams, including product managers, designers, and other engineers, to define and implement new features.
  • Conduct code reviews (comment, approve, seek revisions, merge), mentor junior and mid-level engineers, and actively promote engineering best practices.
  • Dive deep and troubleshoot complex issues, devise fixes, author root cause analysis documents, and ensure lasting performance and reliability.
  • Conduct objective and comparative analyses of competing technologies to advise the team of pros and cons of a technology solution.
  • Maintain robust documentation (design docs, run books, change management docs, and readiness plans).
  • Provide live-site support for production applications by monitoring systems, ensuring rapid incident resolution, and driving continuous improvement.
  • Drive cross-team projects as a single-threaded-owner (STO) or tech lead, and actively unblock other engineers to make progress.

Agentic AI & Intelligent Systems :

  • Design and build agentic AI systems and services, enabling autonomous workflows, reasoning, and task execution within Mobility platforms.
  • Develop AI agents from scratch, including orchestration, tool usage, memory, and multi-step decision-making capabilities.
  • Implement and scale multi-agent architectures to support complex, distributed use cases across payments and fleet ecosystems.
  • Integrate systems using Model Context Protocol (MCP) or similar frameworks to enable secure and scalable interaction between AI agents, APIs, and enterprise data sources.
  • Build and optimize LLM-powered services (e.g., OpenAI APIs, LangChain) for production-grade performance, reliability, and cost efficiency.
  • Implement evaluation frameworks, observability, and guardrails to ensure correctness, safety, and compliance of AI-driven systems.
  • Design solutions for context management, memory, and retrieval-augmented generation (RAG) to enhance agent effectiveness.

Experience you'll bring:

  • Bachelor's degree in Computer Science or Software Engineering
  • 5-8 years of professional experience in software engineering
  • Strong understanding of data structures and algorithms, object-oriented design, and problem-solving skills
  • Expertise in designing and developing internet-scale services with scalability, availability, security, and reliability design tenets
  • Excellent written and verbal communication skills, and a collaborative and empathetic mindset
  • Proficiency in backend development, with expertise in Java or C#, frameworks like SpringBoot, building and optimizing RESTful APIs, ODATA framework, and SQL


Agentic AI & MCP Experience:

  • Hands-on experience building or contributing to AI/LLM-powered applications or agent-based systems
  • Familiarity with agent frameworks, tool-use patterns, and orchestration of LLM workflows
  • Experience integrating AI systems with external tools/APIs using MCP or similar protocols
  • Understanding of prompt engineering, embeddings, and vector-based retrieval systems
  • Experience designing systems for scaling AI workloads in production environments

Preferred Qualifications

  • Master's degree in computer science or software engineering
  • 8+ years of experience in software engineering
  • Experience with Python, Java, event-driven architecture and tools like Kafka
  • Experience working on card payments
  • Familiarity with cloud-native architecture (containerization using tools such as Docker and Kubernetes)
  • Awareness of API security and PCI DSS compliance requirements
  • Ability to work on existing codebase, contribute improvements, and adapt to legacy systems' constraints
  • Nice to Have (AI Focus):
  • Experience building AI skills & deploying AI solutions to production environments
  • Experience building production-grade AI agents or copilots
  • Familiarity with multi-agent systems and distributed AI architectures
  • Experience with vector databases (e.g., Pinecone, Weaviate, OpenSearch, Milvus)
  • Knowledge of AI evaluation techniques, safety practices, and responsible AI principles

Nice to Have (AI Focus):

  • Experience building AI skills & deploying AI solutions to production environments
  • Experience building production-grade AI agents or copilots
  • Familiarity with multi-agent systems and distributed AI architectures
  • Experience with vector databases (e.g., Pinecone, Weaviate, OpenSearch, Milvus)
  • Knowledge of AI evaluation techniques, safety practices, and responsible AI principles
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $121,500.00 - $145,500.00

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