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Remote Modeling Simulation Engineer Jobs in Ridgecrest, CA

Joveo

Software Engineers

California City, CA · Remote

$30 - $50/hr

Software Engineer (Remote) * Location: Remote (United States, Canada, United Kingdom, Australia ... Help train Large Language Models (LLMs) for complex, multi-step architectural workflows. Key ...

Saalex

Full Stack Developer

Ridgecrest, CA · Remote

$83K - $100K/yr

This is a remote position. Job Summary: This role supports enterprise modernization and software ... Collaborate with data scientists in the development of advanced modeling technologies and systems.

Saalex

Full Stack Developer

Ridgecrest, CA · Remote

$83K - $100K/yr

This is a remote position. Job Summary: This role supports enterprise modernization and software ... Collaborate with data scientists in the development of advanced modeling technologies and systems.

Saalex

Data Scientist

Ridgecrest, CA · Remote

$120K - $167K/yr

This is a remote position. Job Summary: We are seeking a highly motivated Data Scientist to support ... engineering, operational, and leadership teams. Essential Functions: Data Analysis & Modeling

Saalex

Data Scientist

Ridgecrest, CA · Remote

$120K - $167K/yr

This is a remote position. Job Summary: We are seeking a highly motivated Data Scientist to support ... engineering, operational, and leadership teams. Essential Functions: Data Analysis & Modeling

People also search for

All JobsRemote Modeling Simulation Engineer JobsRemote Modeling Simulation Engineer Jobs in Ridgecrest, CA

Remote Modeling Simulation Engineer information

See Ridgecrest, CA salary details

$38.7K

$122.5K

$189.2K

How much do remote modeling simulation engineer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for remote modeling simulation engineer in Ridgecrest, CA is $122,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,400.00 and $145,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Modeling Simulation Engineer vs Remote Data Analyst?

AspectRemote Modeling Simulation EngineerRemote Data Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with simulation softwareBachelor's or higher in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering teams, simulation labs, software development settingsBusiness, finance, healthcare, or tech companies analyzing data sets
Industry UsageManufacturing, aerospace, automotive, defenseFinance, marketing, healthcare, technology
Common Search/ComparisonYesYes

The Remote Modeling Simulation Engineer focuses on creating and running simulations to predict system behaviors, often in engineering or manufacturing contexts. In contrast, the Remote Data Analyst interprets data to inform business decisions across various industries. While both roles require analytical skills and technical knowledge, their tools, applications, and industry focus differ significantly.

How does a Remote Modeling Simulation Engineer typically collaborate with cross-functional teams despite working remotely?

Remote Modeling Simulation Engineers frequently work with multidisciplinary teams, including software developers, project managers, and subject matter experts. Collaboration is typically facilitated through virtual meetings, shared simulation platforms, and cloud-based project management tools. Regular communication and thorough documentation are essential to ensure alignment on project goals and simulation requirements. While remote work offers flexibility, it also requires proactive engagement to stay connected and effectively contribute to team-driven problem solving.

What are Remote Modeling Simulation Engineers?

Remote Modeling Simulation Engineers are professionals who use computer-based models and simulations to analyze, design, and optimize systems or products, often working from a location outside of a traditional office. They leverage specialized software to create virtual prototypes and run simulations, which helps in testing and improving designs without the need for physical experiments. These engineers collaborate with teams online, and their work is crucial in industries such as aerospace, automotive, energy, and manufacturing. Their remote setup allows companies to tap into a wider talent pool and offers professionals greater flexibility.

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

To thrive as a Remote Modeling Simulation Engineer, you need a solid background in engineering or computer science, strong mathematical modeling skills, and experience with simulation methodologies. Familiarity with tools like MATLAB, Simulink, Python, and simulation software, along with relevant certifications such as Certified Systems Engineering Professional (CSEP), is often required. Exceptional problem-solving, self-motivation, and clear communication are crucial soft skills, especially when collaborating remotely with diverse teams. These skills ensure accurate model development, effective virtual teamwork, and the delivery of reliable simulation results for complex engineering challenges.
What job categories do people searching Remote Modeling Simulation Engineer jobs in Ridgecrest, CA look for? The top searched job categories for Remote Modeling Simulation Engineer jobs in Ridgecrest, CA are:
What cities near Ridgecrest, CA are hiring for Remote Modeling Simulation Engineer jobs? Cities near Ridgecrest, CA with the most Remote Modeling Simulation Engineer job openings:
Remote Modeling Simulation Engineer jobs near you
Software Engineers

Software Engineers

Joveo

California City, CA • Remote

$30 - $50/hr

Part-time

Posted 29 days ago

Job description

  • Job Title: Software Engineer (Remote)
  • Location: Remote (United States, Canada, United Kingdom, Australia)
  • Work Mode: Fully Remote



Role Overview

Help design and evaluate autonomous AI agents across multiple LLMs, spanning health, education, daily life, and other real-world domains (all coding work). Shape the future of agentic AI systems by providing expert human feedback to leading AI organisations. Help train Large Language Models (LLMs) for complex, multi-step architectural workflows.



Key Responsibilities

AI Agent Evaluation

  • Write evaluation rubrics with objective pass/fail criteria
  • Debug agent traces to identify failure patterns
  • Stress test agents against edge cases, prompt injection, and tool misuse

Technical Assessment

  • Assess production-grade modular software architecture
  • Analyse multi-turn system interactions and behaviours
  • Provide high-density technical feedback for LLM training


Project Workflow

  • Create an account and upload a resume/ID
  • Complete the onboarding assessment
  • Start earning through flexible task assignments



Qualifications

  1. Experience in backend engineering, AI automation, or complex systems integration
  2. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting)
  3. Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases
  4. Practical experience building for live, non-mocked environments and handling multi-turn system interactions



Preferred (Nice to Have)

  • Experience integrating agents with live tools such as Supabase, Gmail, and other APIs
  • Familiarity with persistent state and session-tracking patterns
  • Experience identifying privacy leaks, authority escalation, or indirect prompt injection vulnerabilities



Compensation

  1. Hourly compensation ranges from USD $30–$50, depending on experience and task complexity
  2. Payments are issued weekly via supported payout platforms (e.g., PayPal or AirTM)
  3. Full compensation details are provided prior to task acceptance



Equal Opportunity Statement

Selection decisions are based solely on skills, qualifications, and project requirements. We are committed to inclusive and fair engagement practices and consider all qualified applicants without regard to legally protected characteristics.


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