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Freelance Software Developer Ai Trainer Jobs (NOW HIRING)

$54.50 - $72/hr

We do full stack benchmarking for Data Center scale systems for AI training/inference and lower ... Sc degree in Computer Science / Software engineering or equivalent experience. * 5+ years of ...

The ideal candidate with a strong background in software engineering, solution architecture, DevOps, developer enablement, or technical training, who has hands-on experience using AI tools in ...

As a Staff Software Developer on Auvik's AI & Platform team, you'll be a hands-on technical leader building the AI-powered capabilities in our product. You'll work alongside a Staff Data Engineer ...

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Freelance Software Developer Ai Trainer information

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$48K

$111.8K

$166K

How much do freelance software developer ai trainer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for freelance software developer ai trainer in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Software Developer Ai Trainer vs Freelance Data Scientist?

AspectFreelance Software Developer Ai TrainerFreelance Data Scientist
Required SkillsProgramming, AI model training, machine learning frameworksData analysis, statistical modeling, programming
Work EnvironmentRemote, project-based, client-specificRemote, consulting or project-based
Common Industry UsageAI development, machine learning projectsData analysis, predictive modeling

Freelance Software Developer Ai Trainers focus on developing and training AI models using programming and machine learning skills, often working on specific AI projects. Freelance Data Scientists analyze data to extract insights and build predictive models. While both roles require programming knowledge, AI Trainers specialize in training AI systems, whereas Data Scientists focus on data analysis and interpretation.

What are Freelance Software Developer AI Trainers?

Freelance Software Developer AI Trainers are professionals who work independently to help train artificial intelligence systems, such as machine learning models, by providing software development expertise and annotated data. They may evaluate AI outputs, write code snippets, or give feedback on programming tasks to ensure AI models perform accurately in real-world scenarios. These freelancers often collaborate with companies developing AI products, using their coding knowledge to improve the quality, relevance, and reliability of AI-generated solutions.

How does a Freelance Software Developer AI Trainer typically collaborate with AI research teams or clients during projects?

As a Freelance Software Developer AI Trainer, you will frequently work with AI research teams, data scientists, or client stakeholders to clarify project goals, align on training data needs, and review model performance. Communication is often remote and asynchronous, requiring clear documentation and regular status updates. Collaboration tools like Slack, GitHub, or project management platforms are commonly used to coordinate tasks and share feedback. This collaborative approach ensures the AI models you help train meet both technical requirements and end-user expectations.

What are the key skills and qualifications needed to thrive as a Freelance Software Developer AI Trainer, and why are they important?

To thrive as a Freelance Software Developer AI Trainer, you need a strong background in software development, AI concepts, and programming languages such as Python, often supported by a degree in computer science or related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), collaborative platforms, and version control systems (like Git) is typically expected. Exceptional communication, adaptability, and analytical thinking are vital soft skills for effectively conveying complex topics and tailoring instruction to diverse learners. These skills ensure high-quality, impactful training that meets client needs and drives successful AI project outcomes.
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What cities are hiring for Freelance Software Developer Ai Trainer jobs? Cities with the most Freelance Software Developer Ai Trainer job openings:
What are the most commonly searched types of Software Developer Ai Trainer jobs? The most popular types of Software Developer Ai Trainer jobs are:
What states have the most Freelance Software Developer Ai Trainer jobs? States with the most job openings for Freelance Software Developer Ai Trainer jobs include:
Infographic showing various Freelance Software Developer Ai Trainer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $111,845 per year, or $53.8 per hour.
Senior Software Developer, AI Networking

Senior Software Developer, AI Networking

Nvidia

New York, NY

$59.50 - $78.75/hr

Full-time

Posted 8 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

5th of 217 rated software companies


Job description

NVIDIA is changing the world of AI Networking with groundbreaking technology. We are excited to be adding an AI Networking Software Developer to our AI Networking SW development and codesign team. We are working with the latest NVIDIA hardware and technologies. We do full stack benchmarking for Data Center scale systems for AI training/inference and lower level benchmarks. We strive for automation and develop many tools in-house yet adopt community accepted practices and frameworks. Moreover we give back to community developing our own tools in public GitHub repositories. Our goal is to ensure that large-scale systems deliver expected performance in practice, not just on paper, by uncovering bottlenecks and driving continuous improvements.

What you'll be doing:

  • Developing AI networking communication frameworks and applications running in production on the world's largest supercomputers and data centers.

  • Develop production tools and benchmarks used by multiple teams inside and outside NVIDIA.

  • Enable new AI models within our benchmarking infrastructure and deliver insights through end-to-end analysis of large-scale workloads across hardware and software stacks.

  • Design and implement automation systems, including large-scale parameter search to identify optimal configurations across complex systems.

  • Collaborate closely with networking and hardware teams to co-design new features and software interfaces in a fast-paced, evolving environment.

What we need to see:

  • B.Sc., M.Sc degree in Computer Science / Software engineering or equivalent experience.

  • 5+ years of experience.

  • Professional Python development experience. We seek individuals who build maintainable, long-lived tools that do not impose a heavy burden on the team in terms of maintenance.

  • Solid Linux expertise and passion for working extensively in command-line environments.

  • Ability to work across a broad and evolving stack, with a strong drive to learn-from hardware and networking up to large-scale AI systems running across entire clusters

Ways to stand out from the crowd:

  • Knowledge and/or experience with modern AI ecosystem: PyTorch, LLMs, inference and training.

  • Familiarity with cluster orchestration systems such as Slurm or Kubernetes.

  • Knowledge in MPI and HPC, InfiniBand, Ethernet and Networking.

  • Experience in performance optimizations

For two decades, we have pioneered visual computing, and the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from massive amounts of data - has shown to be deeply effective at solving some of the most complex problems in everyday life. NVIDIA is widely considered to be one of the technology world's most desirable companies to work for. Are you creative and driven? Do you love a challenge? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 19, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993