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Software Developer Ai Trainer Jobs (NOW HIRING)

EXCLUSIVE JETS LLC

AI Software Developer

Raleigh, NC · On-site

Job Summary We are seeking a Senior Software Developer with 6+ years of experience who builds and ... Hands-on experience building, training, evaluating, and deploying machine-learning / AI models in ...

Leidos

AI Software Developer

Gaithersburg, MD · Hybrid

Leidos is seeking an AI Software Developer to join the Air Traffic Business Area within the Homeland Sector , supporting the development of the Leidos Common Baseline . Common Baseline is a mission ...

Leidos

AI Software Developer

Gaithersburg, MD · On-site

Leidos is seeking an AI Software Developer to join the Air Traffic Business Area within the Homeland Sector , supporting the development of the Leidos Common Baseline . Common Baseline is a mission ...

Jobgether

Our partner is looking for a Go Developer - AI & ML based in Netherlands. This role offers the ... software teams is a plus. * Experience building and training machine learning models is highly ...

Aquent

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. * 3-6 years of software development experience. * 2+ years of experience building AI/ML or Generative AI ...

Stefanini

AI Software Developer

Allen Park, MI · On-site

Stefanini is looking for an AI Software Developer(Allen Park, MI) For quick apply, please reach out to Lovkesh Bharti at / We are looking for responsible for designing, developing, testing and ...

Collabera LLC

Associate Software Developer

Tampa, FL · On-site

Associate Software Engineer (Campus / New Grad AI & Full Stack) Position Summary: Client: Financial/Banking Job Title: Entry Developer/Associate Engineer Duration: 6 to 12 months (Contract to hire ...

Collabera

Associate Software Developer

Tampa, FL · On-site

Job Title: Associate Software Engineer (Campus / New Grad - AI & Full Stack) Position Summary: Client: Financial/Banking Job Title: Entry Developer/Associate Engineer Duration: 6 to 12 months ...

SNC-Lavalin

AI Solutions Software Developer

Tampa, FL · On-site

Under direction, works collaboratively with industry experts, software developers, data specialists, project managers, and client stakeholders to design, build, and deliver AI-enabled software, data ...

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

As of Jul 27, 2026, the average hourly pay for 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 is a Software Developer AI Trainer job?

A Software Developer AI Trainer is responsible for training, testing, and improving AI models by providing high-quality data, refining algorithms, and ensuring accurate outputs. They work closely with developers, data scientists, and machine learning engineers to enhance AI applications. This role involves analyzing model performance, labeling data, writing code for automation, and fine-tuning AI systems to improve accuracy and efficiency.

What types of projects do Software Developer AI Trainers typically work on?

Software Developer AI Trainers commonly work on projects involving the design, training, and optimization of AI models for tasks such as natural language processing, image recognition, or data analysis. They collaborate closely with software engineers, data scientists, and product teams to ensure that AI models are accurate, reliable, and efficient in real-world applications. Daily responsibilities might include curating and labeling datasets, evaluating model performance, and implementing feedback loops to refine results. This collaborative, project-driven environment provides opportunities to work on cutting-edge technology and directly impact product innovation and usability.

What are the key skills and qualifications needed to thrive in the Software Developer Ai Trainer position, and why are they important?

To thrive as a Software Developer AI Trainer, you need a solid background in programming (such as Python, Java, or C++), experience with machine learning concepts, and often a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch and data annotation tools is highly beneficial, and certifications in AI or data science can further strengthen your profile. Strong analytical thinking, communication skills, and a collaborative mindset set standout candidates apart in this role. These skills are essential for effectively developing, improving, and deploying AI models while working cross-functionally with engineers and data scientists.

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What cities are hiring for Software Developer Ai Trainer jobs? Cities with the most 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:
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Software Developer Ai Trainer jobs near you
Infographic showing various Software Developer Ai Trainer job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

AI Software Developer

EXCLUSIVE JETS LLC

Raleigh, NC • On-site

Full-time

Posted yesterday

Job description

About flyExclusive
flyExclusive is one of the fastest-growing private aviation companies in the country - and we are just getting started. We operate a modern, curated fleet and deliver a world-class experience to our customers, backed by a team that holds itself to the highest standards of safety, service, and operational excellence. From our roots in Kinston, North Carolina to our expanding Raleigh headquarters, we are building something the industry has not seen before.
Why flyExclusive?
This is not just a job - it is an opportunity to be part of something that is taking off. At flyExclusive, you will work alongside talented, driven people who care deeply about what they do and the team they do it with. You will have real responsibility, room to grow, and a front-row seat to the inner workings of a private aviation company scaling at speed.
We offer a competitive salary and benefits package - but what sets us apart is our culture. We are a crew that holds each other to high standards, has each other's backs, and takes pride in doing exceptional work every day. If you are looking for a place to punch in and punch out, this probably is not it. But if you are looking for a place to build a career you are proud of, you may have just found your runway.
Job Summary
We are seeking a Senior Software Developer with 6+ years of experience who builds and ships production software by directing AI coding agents at high velocity, and who also designs and builds machine-learning and AI models for the business. This is a hands-on engineering role on a multi-tenant, regulated SaaS platform: designing backend services and internal tools, integrating third-party systems, building and deploying models (e.g., pricing, flight-time estimation, and fleet/demand optimization), diagnosing real production issues, and shipping small, well-tested changes through CI/CD. Much of the work gets done by planning, driving, and verifying AI agents (e.g., Claude Code) to investigate, implement, test, and ship. The ideal candidate pairs strong software-engineering fundamentals and production-operations instincts with daily fluency in AI-assisted, agentic development and hands-on machine-learning experience.
Key Responsibilities
  • Design, build, test, deploy, and maintain production software and services for internal and customer-facing use cases - primarily by directing AI coding agents and verifying their output.
  • Plan and decompose work for AI coding agents, then review, correct, and integrate what they produce - treating the agent as a fast junior engineer you are accountable for, never an oracle.
  • Integrate third-party APIs and external systems (vendor data feeds, payments, messaging, mapping, and LLM/AI services) into platforms, products, and operational workflows.
  • Design, build, train, evaluate, and deploy machine-learning and AI models for business use cases (e.g., pricing, flight-time estimation, and demand/fleet optimization), and integrate them into production workflows.
  • Build and maintain scalable backend services, internal tools, data pipelines, and typed front ends.
  • Design data models, APIs, and structured, auditable workflows that AI agents can execute safely and reliably.
  • Optimize application performance across latency, cost, scalability, and reliability.
  • Direct and supervise AI coding agents to plan, implement, test, and ship production features end-to-end - reviewing and verifying AI output, not blindly trusting it.
  • Build and maintain multi-tenant backend services, internal tools, and their typed front ends (e.g., ASP.NET Core / EF Core / Azure SQL and React / TypeScript).
  • Diagnose and resolve real production issues using telemetry - application logs, metrics, and database query plans - and verify every fix on the live system.
  • Operate the cloud platform and delivery pipeline: Azure services, CI/CD, and source control, shipping small, well-tested changes.
  • Iterate quickly while holding a regulated, high-stakes bar - correctness, traceability, and no silent failures.
  • Continuously replace traditional engineering workflows with AI-assisted systems and help improve the agent tooling itself.
  • Collaborate with product managers, stakeholders, and engineering teams to identify high-value work and translate business needs into shipped, working software.
  • Ensure best practices in security, governance, testing, version control, traceability, and responsible AI usage.
  • Document architecture, workflows, technical decisions, and deployment standards.

Required Qualifications
  • Bachelor's degree in computer science, software engineering, or a related field - or equivalent professional experience.
  • Six plus years of professional software development experience, including senior-level ownership of features end-to-end in production.
  • Strong, current hands-on experience in C#/.NET and TypeScript/JavaScript (React) plus SQL; comfortable using Python for scripting and automation.
  • Proven track record shipping and operating production software in a cloud environment - deploys, rollbacks, monitoring, and incident response.
  • Daily, hands-on experience directing AI coding agents/assistants (e.g., Claude Code, Cursor, Copilot, Codex) to plan, implement, test, and ship real features - with the judgment to review and verify their output rather than trust it blindly.
  • Strong prompting and agent-direction skills: breaking down work, giving agents the right context, and reliably catching incorrect, unsafe, or incomplete output.
  • Hands-on experience building, training, evaluating, and deploying machine-learning / AI models in production, including comfort with the Python ML stack (e.g., scikit-learn, PyTorch, or similar) and taking models from prototype to production.
  • Solid experience with REST APIs, backend services, and cloud platforms - Azure preferred (AWS or Google Cloud acceptable).
  • Strong relational-database and SQL skills - including reading query plans and diagnosing performance - and comfort working directly in the data, not just the application code.
  • Fluency with CI/CD pipelines, Git, automated testing, and modern software-engineering practices, including verifying changes locally before they ship.
  • Ability to translate business requirements into working software, delivered with AI-assisted development.
  • Must be authorized to work lawfully in the United States without sponsorship.

Preferred Qualifications
  • Experience operating multi-tenant SaaS (e.g., database-per-tenant, per-tenant configuration, and applying migrations across many tenant databases).
  • Strong production-observability instincts - using application logs, metrics, distributed tracing, and telemetry (e.g., Azure Application Insights) to find and verify root cause on the live system.
  • Familiarity with model evaluation, monitoring, and MLOps practices that keep production models reliable over time.
  • Experience integrating LLM APIs (e.g., Anthropic Claude or Azure OpenAI) into product features, and power-user familiarity with the Claude/Anthropic API or Claude Code.
  • Knowledge of data governance, security, privacy, and responsible AI principles.

Key Skills
  • AI-assisted, agentic software development
  • Production debugging and root-cause analysis
  • Directing and verifying AI coding agents
  • Machine-learning model development and deployment
  • API development and system integration
  • Cloud architecture and deployment
  • Relational databases and SQL (performance and query plans)
  • Problem-solving and analytical thinking
  • Communication and cross-functional collaboration
  • Being a self-starter who is highly motivated with strong initiative
  • Strong ability to problem-solve under pressure daily
  • Comfort learning quickly and adapting to change

What Success Looks Like
  • Ships production-ready software quickly by directing AI agents - with correctness, traceability, and no silent failures.
  • Improves operational efficiency, decision-making, or customer experience through AI.
  • Builds reliable, secure, and scalable systems with measurable performance outcomes.
  • Serves as a strong technical contributor and thought partner across engineering and business teams.

Work Environment
  • Monday through Friday in our Raleigh office (not a remote or hybrid position)
  • Typical office and computer lab environment
  • Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.

Dress Code
  • Well-groomed appearance
  • Adherence to department dress code

Travel
  • Limited travel may be required

EEO Statement
flyExclusive does not discriminate based on race, color, religion, sex (including pregnancy, sex stereotyping, gender identity, gender expression or transgender status), national origin, sexual orientation, physical or mental disability, age, protected genetic information, status as a parent, marital status, political affiliation, or retaliation based on prior protected EEO activity.

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