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Contractual Ai Coding Trainer Jobs (NOW HIRING)

No prior AI training experience is required. Key Responsibilities * Provide expert analysis and feedback on GIS and geospatial challenges. * Document technical workflows using Python and AI coding ...

New

SmarterDx is transforming how health systems use clinical AI to capture the full value of patient ... Participate in ongoing training and professional development to stay current on documentation and ...

Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks. * Review model-generated implementations involving model training , inference systems , MLOps ...

Experience with AI coding assistants , prompt engineering, or agent workflows. * Past experience in AI training , model evaluation, or benchmark/task authoring. Resources & Support * For details ...

The role involves directing AI coding agents, designing and building machine-learning models, and ... training, evaluating, and deploying machine-learning / AI models in production, including comfort ...

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Contractual Ai Coding Trainer information

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$63

How much do contractual ai coding trainer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for contractual ai coding 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 is the difference between Contractual Ai Coding Trainer vs AI Developer?

AspectContractual Ai Coding TrainerAI Developer
CredentialsRelevant certifications in AI and coding, teaching experienceAdvanced degrees in computer science or AI, programming skills
Work EnvironmentTraining sessions, workshops, online platformsSoftware development teams, R&D labs, tech companies
Employer & Industry UsageEducational institutions, training firms, corporate trainingTech companies, startups, research organizations

While both roles involve AI and coding, a Contractual Ai Coding Trainer primarily focuses on teaching and training others in AI coding skills, often on a contractual basis. An AI Developer, however, is involved in designing, developing, and deploying AI solutions within organizations. The roles differ mainly in their focus—training versus development—and their typical work environments.

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Infographic showing various Contractual Ai Coding Trainer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Cross-Platform Mobile Engineer (React Native & AI Integration) - Q126

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Re-posted 11 days ago


Job description

Overview:
Job Title: Cross-Platform Mobile Engineer (React Native & AI Integration)
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is... (Same as above)
Job Summary: R2 Technologies is looking for a versatile React Native Engineer who bridges the gap between the massive JavaScript ecosystem and the fast-moving AI landscape. You will not only build cross-platform mobile applications for iOS and Android but also engineer the dynamic, conversational interfaces that interact with our enterprise AI agents. By treating AI coding assistants as your pair programmer, you will rapidly prototype, build, and deploy intelligent mobile experiences that connect directly to advanced LLM orchestration backends.
Key Responsibilities:
  • Build highly responsive, cross-platform mobile applications using modern React Native, TypeScript, and React Hooks.
  • Develop "AI-first" user interfaces, including real-time streaming chat UIs, voice-to-text inputs, and dynamic, agent-generated UI components.
  • Actively utilize AI-assisted coding tools (Cursor, GitHub Copilot) to rapidly write cross-platform boilerplate, resolve native module bridging issues, and optimize UI rendering.
  • Integrate enterprise backend APIs, Edge runtimes, and AI SDKs (like Vercel AI SDK or LangChain-compatible endpoints) directly into the mobile client.
  • Optimize React Native performance by minimizing JavaScript bridge bottlenecks, utilizing modern architectures (Fabric/Bridgeless), and profiling memory usage.
  • Collaborate with backend and Agentic AI Engineers to ensure the mobile app properly handles streaming LLM tokens and complex multi-step reasoning outputs.

Qualifications:
  • Up to 3 years of experience in cross-platform mobile development or full-stack JavaScript engineering.
  • Deep understanding of React Native, TypeScript, and state management (Zustand, Redux Toolkit).
  • Experience integrating RESTful/GraphQL APIs, WebSockets, and third-party AI endpoints.
  • Proven experience working heavily alongside AI coding assistants to enhance productivity and solve native-bridging complexities.

Solid understanding of mobile UI/UX principles and the ability to build fluid, conversational application flows.
Skills:
React Native,Mobile