ZipRecruiter

Log In

2

Remote Seat Design Engineer Jobs in Georgia (NOW HIRING)

YO AI Labs

DevOps Engineer - Remote

Atlanta, GA · Remote

$50 - $150/hr

Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production ... Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident ...

YO AI Labs

GPU Programming Expert - Remote

Atlanta, GA · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

Epta

CAD Designer

Columbus, GA · On-site +1

$24.25 - $33.25/hr

COLLABORATION WITH ENGINEERING & MANUFACTURING TEAMS Work closely with R&D engineers, product ... Epta offers the opportunity for remote work whenever possible, along with providing the necessary ...

YO AI Labs

AI/ML Engineer - Remote

Atlanta, GA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering . * Develop ...

Cisco

Senior Software Engineer (Remote)

Atlanta, GA · Remote

$117K - $155K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... We partner closely with Design, Product Management, and other teams to create solutions for our ...

YO AI Labs

Backend Java Developer - Remote

Atlanta, GA · Remote

$60 - $110/hr

Backend Java Developer Job Type: Contractor Location: Remote Job Overview We are seeking ... Design, develop, and maintain scalable backend applications using Java and Spring Boot . * Build ...

YO AI Labs

Backend Developer - Remote

Atlanta, GA · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... You will design reproducible environments, deterministic verification, and reference solutions for ...

previous page

Showing results 41-60

All JobsSeat Design Engineer JobsRemote Seat Design Engineer JobsRemote Seat Design Engineer Jobs in Georgia

Remote Seat Design Engineer information

What does a remote seat design engineer do?

A Remote Seat Design Engineer is responsible for designing, developing, and testing seating systems for vehicles or aircraft while working from a remote location. Their duties include creating CAD models, collaborating with multidisciplinary teams, ensuring compliance with safety and ergonomic standards, and addressing design challenges. They use digital tools and communication platforms to participate in the design process, review prototypes, and coordinate with manufacturing teams, often without being physically present at the production site.

What are the key skills and qualifications needed to thrive as a remote seat design engineer, and why are they important?

To thrive as a Remote Seat Design Engineer, you need expertise in mechanical engineering principles, proficiency in 3D CAD modeling, and often a relevant engineering degree. Familiarity with tools like CATIA, SolidWorks, and PLM systems, as well as knowledge of industry standards and safety regulations, is typically required. Strong problem-solving, attention to detail, and effective remote communication skills are crucial to excel in this collaborative role. These competencies ensure innovative, safe, and manufacturable seat designs while enabling seamless teamwork across distributed engineering teams.

What are some common challenges faced by remote seat design engineers, and how can they be managed effectively?

Remote Seat Design Engineers often face challenges such as collaborating across different time zones, ensuring seamless communication with manufacturing teams, and maintaining design accuracy without in-person prototyping. To manage these challenges, engineers typically rely on advanced CAD tools, regular virtual meetings, and clear documentation. Building strong working relationships with cross-functional teams and proactively seeking feedback can also help ensure project goals are met efficiently and designs are manufacturable.

What is the difference between Remote Seat Design Engineer vs Remote Interior Designer?

AspectRemote Seat Design EngineerRemote Interior Designer
CredentialsEngineering degree, CAD certificationInterior design degree, certification in design software
Work EnvironmentAutomotive, aerospace, or transportation industriesResidential, commercial, or hospitality spaces
Industry UsageAutomotive and transportation sectorsReal estate, hospitality, and retail sectors

The Remote Seat Design Engineer focuses on designing vehicle seats using engineering principles and CAD tools, primarily for automotive or transportation industries. In contrast, the Remote Interior Designer creates interior spaces for homes or commercial buildings, emphasizing aesthetics and functionality. While both roles require design skills and software proficiency, their industries, credentials, and end goals differ significantly.

What are the most commonly searched types of Seat Design Engineer jobs in Georgia?

The most popular types of Seat Design Engineer jobs in Georgia are:

What are popular job titles related to Remote Seat Design Engineer jobs in Georgia?

For Remote Seat Design Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Remote Seat Design Engineer jobs in Georgia look for?

The top searched job categories for Remote Seat Design Engineer jobs in Georgia are:

What cities in Georgia are hiring for Remote Seat Design Engineer jobs?

Cities in Georgia with the most Remote Seat Design Engineer job openings:

Remote Seat Design Engineer jobs near you

Software Engineer - AI/ML & LLM - Remote

YO AI Labs

Atlanta, GA • Remote

$80 - $120/hr

Full-time

Posted 11 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.