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Senior Software Developer Ai Trainer Jobs (NOW HIRING)

DivIHN

Software Developer- (AI Focus)

Palo Alto, CA · On-site

Software Developer- (AI Focus) Location: Palo Alto, CA Duration: 9 Months Only W2 candidates are ... Were hiring a Sr. Software Developer to design, build, and operate the platform and backend systems ...

Nvidia

Senior Software Engineer, AI Resiliency

Redmond, WA

$137.20K - $180.90K/yr

We are currently seeking a Senior Software Engineer to lead the development of AI software ... Hands-on experience in training models or working with model training teams. * Hands-on experience ...

Nvidia

Senior Software Engineer, AI Resiliency

Redmond, WA

$137.20K - $180.90K/yr

We are currently seeking a Senior Software Engineer to lead the development of AI software ... Hands-on experience in training models or working with model training teams. * Hands-on experience ...

SOSi

Senior Software Developer

Doral, FL

$50.50 - $66.50/hr

The Senior Software Developer advances our customer's Enterprise Data Architecture (EDA) by ... CSS3, Nod JS, and AI/ML. * Experience with Python, Grunt, Node, AngularJS, ArangoDB, SQL, SQL ...

SOSi

Senior Software Developer

Doral, FL · On-site

$50.50 - $66.50/hr

The Senior Software Developer advances our customer's Enterprise Data Architecture (EDA) by ... CSS3, Nod JS, and AI/ML. * Experience with Python, Grunt, Node, AngularJS, ArangoDB, SQL, SQL ...

ARA

Senior Software Developer

Fort Belvoir, VA · On-site

$61.75 - $81.50/hr

Experience in developing software using AI-assisted development tools, including coding, debugging ... ARA gives its employees the tools, training, and opportunities to take more active roles as owners.

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How much do senior software developer ai trainer jobs pay per hour?

As of May 31, 2026, the average hourly pay for senior software developer ai trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

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

To thrive as a Senior Software Developer AI Trainer, you need advanced programming skills (such as Python), deep understanding of AI/ML concepts, and experience in software development, often supported by a relevant degree and industry certifications. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems, and cloud computing platforms is typically required. Outstanding communication, mentoring abilities, and problem-solving skills help in effectively guiding junior developers and collaborating across teams. These skills are crucial for driving innovation, ensuring model quality, and fostering talent development within AI-focused projects.

How does a Senior Software Developer AI Trainer typically collaborate with data scientists and product teams?

As a Senior Software Developer AI Trainer, you will regularly work alongside data scientists to design, implement, and refine machine learning models. Collaboration often involves interpreting data requirements, integrating model outputs into applications, and ensuring the scalability and reliability of AI solutions. You’ll also interact with product teams to align AI features with user needs and business goals, often participating in cross-functional meetings to clarify technical constraints and prioritize development tasks. This collaborative environment encourages continuous learning and fosters innovation, making strong communication and teamwork skills essential.

What does a Senior Software Developer AI Trainer do?

A Senior Software Developer AI Trainer is responsible for designing, developing, and refining AI models by providing expert-level training data and feedback. They combine their software development expertise with knowledge of machine learning to help improve the performance, accuracy, and reliability of AI systems. This role often involves collaborating with data scientists, annotating or generating training data, evaluating AI outputs, and ensuring models align with user and business needs. Senior AI trainers also mentor junior team members and contribute to best practices in AI model development and deployment.

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

AspectSenior Software Developer Ai TrainerData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; experience with data analysis
Work EnvironmentTech companies, AI startups, R&D labsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsageDevelops AI models, trains AI systems, collaborates with data teamsAnalyzes data, builds predictive models, interprets complex datasets

While both roles require a strong technical background and experience with machine learning, the Senior Software Developer Ai Trainer focuses on developing and training AI models, often working closely with engineering teams. In contrast, Data Scientists analyze data to extract insights and build models, with a broader focus on data analysis and interpretation. Both roles are vital in AI-driven industries but serve different functions within the AI development lifecycle.

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Senior Software Developer Ai Trainer jobs near you

Software Developer- (AI Focus)

DivIHN

Palo Alto, CA • On-site

Contractor

Posted 27 days ago

Job description

For further inquiries regarding the following opportunity, please contact one of our Talent Specialists, Deepak at 224-507-1279 and Kalaivani at 224-507-1296
Title: Software Developer- (AI Focus)
Location: Palo Alto, CA
Duration: 9 Months
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered
Description:
About the Team
The Enterprise AI team is client's internal AI enablement engine. We evaluate where AI can make a real difference, build the platforms and patterns that make adoption easy, and help engineering teams across the organization work smarter and faster. We operate at the intersection of applied AI, distributed systems, and enterprise operations our job is to make client more efficient, one AI-powered workflow at a time.
This is a high-impact, high-autonomy team where youll work closely with engineering, product, and operations teams across client to bring AI capabilities to life.
About the Role
  • Were hiring a Sr. Software Developer to design, build, and operate the platform and backend systems that power client at scale. Youll own core infrastructure from Kubernetes and cloud-native services to APIs and developer tooling and work closely with product, AI, and security teams. This is a hands-on, high-ownership role where you write production code, design systems, lead code reviews, and make the engineering organization more effective.

What Youll Do
  • Own end-to-end delivery of major platform initiatives, from design through deployment and post-launch success.
  • Own Kubernetes at depth clusters, networking, operators, container lifecycle, and multi-tenant orchestration
  • Design, develop, and optimize distributed services and cloud-native infrastructure on AWS and/or GCP for scale, reliability, and performance.
  • Drive engineering excellence through code quality standards, design reviews, automation, and CI/CD best practices.
  • Collaborate across teams Product, AI, and Security to align architecture with business objectives.
  • Be a mentor and multiplier, guiding engineers through architecture decisions, trade-offs, and delivery.
  • Partner with leadership to align engineering strategy with product objectives and technical roadmap.

What Were Looking For
  • 6+ years of software engineering with deep backend and infrastructure focus.
  • Strong programming skills in Python and/or Go you ship production code, not just scripts and configs.
  • Deep, hands-on Kubernetes experience building and operating clusters, not just deploying to them.
  • Proven experience designing and operating distributed systems in production.
  • Cloud-native fluency across AWS and/or GCP compute, storage, IAM, networking, and managed services.
  • Experience with infrastructure-as-code (Terraform or similar) and CI/CD pipelines.
  • Familiarity with applied AI tooling and patterns agentic AI tools (Claude, LiteLLM), AI gateways, agent frameworks and being able to build backend services that integrate with them.
  • Strong system design and architectural judgment.
  • Clear communicator who partners well across product,security, and AI teams.

Nice to Have
  • Observability stacks Prometheus, Grafana, Datadog, OpenTelemetry.
  • Multi-cloud or hybrid infrastructure experience (AWS, GCP, on-prem).
  • Familiarity with API gateways, AI gateways, and policy/authorization frameworks (ABAC, OPA).
  • Service mesh or platform-as-a-service design experience.
  • Track record of improving engineering productivity at scale.

Apply