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Temporary Remote Ai Engineer Jobs in Georgia (NOW HIRING)

Autodesk Inventor Expert - Remote

Atlanta, GA ยท On-site +1

$30 - $120/hr

Remote Job Overview We are seeking experienced Autodesk Inventor Specialists to contribute their ... No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ...

Remote Job Overview We are seeking experienced AI Coding Agent Users to support a project focused ... Experience applying AI tools to complex programming tasks. * Strong experience with debugging ...

New

$140K - $160K/yr

Engineering Employment Type: Full Time Location: Remote (USA) Compensation: $140,000 - $160,000 / year Description BSC Analytics delivers an agentic AI platform for highly regulated industries ...

Senior Backend Engineer (AI Agent)

Atlanta, GA ยท On-site +1

$116K - $195K/yr

As a Senior Backend Engineer specializing in AI agents, you will design the agents themselves ... REMOTE #LI-GC1 (Pay Transparency Range:$116,000.00 - $195,000.00) Compensation Transparency The ...

Senior DevOps Engineer (Remote Opportunity)

Atlanta, GA ยท On-site +1

$125K - $160K/yr

Leverage AI-powered development tools to accelerate engineering activities, automate routine tasks ... Remote Opportunity Note: Selected candidates will be required to complete fingerprinting at a ...

Staff Engineer - Full Time - Remote

Atlanta, GA ยท On-site +1

$121K - $161K/yr

Remote: Team members who live within the U.S. but are not local within a commutable distance from ... AI-Enabled Engineering * Lead adoption of AI-assisted engineering practices and workflows.

Senior IT Engineer (AI)

Atlanta, GA ยท On-site +1

$141K - $221K/yr

... remote employees worldwide-we are committed to building a diverse and inclusive workplace. We ... As a Senior IT Systems Developer (AI) at Iterable, you will help us build the connective tissue ...

Showing results 41-60

Temporary Remote Ai Engineer information

What is a temporary remote AI engineer?

Temporary Remote AI Engineers are professionals hired on a short-term contract to develop, implement, or maintain artificial intelligence systems while working remotely. They typically work for a set period, such as a few months, and may assist companies with specific AI projects, model training, or data analysis. Their remote setup allows organizations to access specialized AI talent without geographic limitations, making it easier to scale teams quickly for time-sensitive tasks.

What skills and qualifications are needed to thrive as a temporary remote AI engineer?

To thrive as a Temporary Remote AI Engineer, you need a solid background in computer science, machine learning, and programming languages like Python, often supported by a relevant degree or equivalent experience. Familiarity with AI frameworks such as TensorFlow or PyTorch, cloud platforms, and version control systems is typically required. Strong problem-solving abilities, self-motivation, and effective virtual communication are vital soft skills for remote collaboration and project delivery. These skills and qualities enable efficient development, deployment, and teamwork in a remote setting, ensuring successful project outcomes.

What are common challenges faced by temporary remote AI engineers, and how can they overcome them?

Temporary Remote AI Engineers often encounter challenges such as quickly adapting to new codebases, collaborating with distributed teams across time zones, and accessing necessary data or computing resources remotely. To overcome these, it's important to communicate proactively with team members, familiarize yourself with company documentation and tools early on, and set clear expectations about deliverables and timelines. Leveraging collaborative platforms like Slack, GitHub, or JupyterHub can also facilitate smoother workflow and integration with the team.

What is the difference between Temporary Remote Ai Engineer vs Temporary Remote Data Scientist?

AspectTemporary Remote Ai EngineerTemporary Remote Data Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with AI frameworksBachelor's or higher in CS, Statistics, or related; experience with data analysis tools
Work EnvironmentRemote, project-based, AI development teamsRemote, data analysis projects, research teams
Employer & Industry UsageTech companies, AI startups, R&D labsTech firms, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Temporary Remote Ai Engineers focus on developing and implementing AI models and algorithms, often requiring programming skills and knowledge of AI frameworks. Temporary Remote Data Scientists analyze data to extract insights, requiring statistical and analytical expertise. Both roles are remote, project-based, and prevalent in tech industries, but they differ in their core responsibilities and skill sets.

What job categories do people searching Temporary Remote Ai Engineer jobs in Georgia look for?

The top searched job categories for Temporary Remote Ai Engineer jobs in Georgia are:

What cities in Georgia are hiring for Temporary Remote Ai Engineer jobs?

Cities in Georgia with the most Temporary Remote Ai Engineer job openings:

Infographic showing various Temporary Remote Ai Engineer job openings in Georgia as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Autodesk Inventor Expert - Remote

YO AI Labs

Atlanta, GA โ€ข On-site, Remote

$30 - $120/hr

Full-time

Posted 12 days ago


Job description

Job Title: Autodesk Inventor Specialist

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Autodesk Inventor Specialists to contribute their expertise to an innovative project at the intersection of mechanical engineering and emerging AI technology. In this role, you will help improve next-generation AI systems by creating, reviewing, and refining mechanical CAD models and technical documentation. No prior AI experience is required—your engineering and CAD expertise are what matter most.

Key Responsibilities
  • Develop fully parametric 3D CAD models of mechanical parts and assemblies using Autodesk Inventor (or comparable CAD platforms) based on detailed design requirements.

  • Modify and update existing CAD models while maintaining parametric integrity and industry best practices.

  • Review and audit CAD models for dimensional accuracy, GD&T compliance, manufacturability, and design quality.

  • Create, interpret, and validate detailed engineering drawings in accordance with ASME Y14.5 (or equivalent) GD&T standards.

  • Apply Design for Manufacturability (DFM) principles across manufacturing processes including injection molding, sheet metal fabrication, CNC machining, and casting.

  • Support AI model development by documenting design decisions, engineering rationale, model revisions, and audit findings.

  • Collaborate remotely with cross-functional teams and provide clear, technical feedback to improve engineering datasets and AI-generated outputs.

Required Skills
  • Autodesk Inventor.

  • Parametric 3D CAD modeling.

  • GD&T (ASME Y14.5).

  • Design for Manufacturability (DFM).

  • Technical drawing interpretation.

  • Assembly-level mechanical design.

  • Reverse engineering (Scan-to-CAD, Point Cloud-to-Model).

  • Manufacturing process knowledge (Injection Molding, Sheet Metal, CNC Machining, Casting).

  • CAD model auditing.

  • CAD automation and scripting (Python, iLogic, VBA, NX Open).

  • Technical documentation.

  • Strong written and verbal communication.

  • Excellent problem-solving skills.

  • High attention to detail.

Preferred Qualifications
  • Minimum 4 years of hands-on experience in parametric CAD modeling for edit-level tasks; 10+ years preferred for complex design and model creation.

  • Expert-level proficiency in Autodesk Inventor, with experience in comparable CAD platforms such as FreeCAD, SolidWorks, or Fusion 360 considered highly valuable.

  • Practical experience applying GD&T (ASME Y14.5 or equivalent) in production environments.

  • Proven Design for Manufacturability (DFM) experience across multiple manufacturing processes, including injection molding, sheet metal, CNC machining, and casting.

  • Experience with reverse engineering workflows such as Scan-to-CAD and Point Cloud-to-Model reconstruction.

  • Ability to design and manage complex assemblies and mechanical systems.

  • Experience with CAD automation, scripting, or API development using Python, iLogic, VBA, NX Open, or similar technologies.