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Seasonal Software Developer Ai Trainer Jobs (NOW HIRING)

Auvik Networks

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 ...

flyExclusive

AI Software Developer

Raleigh, NC · On-site

... training, evaluating, and deploying machine-learning / AI models in production, including comfort ... software-engineering practices, including verifying changes locally before they ship. • Ability ...

Bigbear.ai

Software Developer

Annapolis Junction, MD · On-site

BigBear.ai is seeking a Software Engineer to join our team and help design, develop, and enhance complex systems that operate in real-time environments and handle massive data sets. This is your ...

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Seasonal Software Developer Ai Trainer information

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

As of Jul 11, 2026, the average hourly pay for seasonal 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 Seasonal Software Developer AI Trainers?

Seasonal Software Developer AI Trainers are professionals who work on a temporary or contract basis to help train artificial intelligence (AI) systems, particularly those used in software development environments. Their main responsibilities may include evaluating, curating, and labeling data, as well as providing feedback to improve the accuracy and effectiveness of AI models designed for software-related tasks. These roles often require strong programming knowledge and an understanding of AI and machine learning principles. The 'seasonal' aspect means that these positions are typically available during peak periods when companies need extra support, such as during large projects or product releases.

What are the main challenges faced by Seasonal Software Developer AI Trainers, and how can they be overcome?

Seasonal Software Developer AI Trainers often face the challenge of quickly adapting to new AI training protocols and project requirements within a limited timeframe. They must rapidly familiarize themselves with proprietary tools and datasets while ensuring accuracy and efficiency in their contributions. Effective communication with full-time team members and proactive learning are key to overcoming these hurdles. Building strong organizational habits and seeking feedback early can help seasonal trainers maximize their impact and integrate smoothly into the team.

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

To thrive as a Seasonal Software Developer AI Trainer, you need solid programming skills (often in Python), understanding of machine learning concepts, and experience with software development best practices, typically supported by a relevant degree or technical coursework. Familiarity with version control (e.g., Git), popular AI frameworks (such as TensorFlow or PyTorch), and annotation or data labeling tools is often required. Strong communication, attention to detail, and adaptability help you provide clear feedback and efficiently manage changing project needs. These skills and qualities are crucial for accurately training AI models and ensuring high-quality outputs in a dynamic, project-based environment.

What is the difference between Seasonal Software Developer Ai Trainer vs Seasonal Data Analyst?

AspectSeasonal Software Developer Ai TrainerSeasonal Data Analyst
Required CredentialsBachelor's in CS or related field, experience with AI/ML toolsBachelor's in Statistics, Data Science, or related field
Work EnvironmentTech companies, AI development teams, remote or onsiteBusiness, finance, healthcare sectors, often office-based
Employer & Industry UsageTech firms, AI startups, e-commerceFinancial institutions, healthcare providers, marketing firms
Search & Comparison IntentUnderstanding AI training roles, seasonal AI projectsAnalyzing data trends, seasonal data projects

The Seasonal Software Developer Ai Trainer focuses on developing and training AI models, requiring programming and AI expertise, often in tech environments. In contrast, the Seasonal Data Analyst interprets data to inform business decisions, emphasizing statistical analysis. Both roles are seasonal, but they serve different functions within the data and AI ecosystem.

What cities are hiring for Seasonal Software Developer Ai Trainer jobs? Cities with the most Seasonal 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 Seasonal Software Developer Ai Trainer jobs? States with the most job openings for Seasonal Software Developer Ai Trainer jobs include:
Seasonal Software Developer Ai Trainer jobs near you
Python Developer / AI Software Engineer

Python Developer / AI Software Engineer

Staffingine LLC

Cincinnati, OH • On-site

$48.25 - $66.50/hr

Contractor

Re-posted 29 days ago

Job description

Job Title: Python Developer / AI Software Engineer
Job Location: Cincinnati, OH
Job Type: Contract

Job Description:

  • Design, build, and maintain agentic workflows and autonomous AI systems.
  • Develop and integrate AI/ML models (including LLMs) into scalable, production-grade applications.
  • Partner with product managers, data scientists, and engineers to define requirements and deliver AI-powered solutions.
  • Implement orchestration logic for multi-agent systems using frameworks like LangChain, AutoGen, or CrewAI.
  • Write clean, maintainable, and well-documented Python code following industry best practices.
  • Optimize AI system performance, reliability, and scalability in production environments.
  • Stay informed about emerging AI/ML technologies, architectures, and best practices to ensure solutions remain cutting-edge.

Required Skills & Qualifications

  • Experience: 5–15 years of relevant software engineering experience with at least 3 years in AI/ML-focused development.
  • Programming Expertise: Strong proficiency in Python with experience in JupyterHub, GitHub, and Visual Studio.
  • AI/ML Knowledge: Solid understanding of AI/ML concepts, including LLMs, prompt engineering, and agentic architectures.
  • Cloud Expertise: Hands-on experience with AWS AI/ML services (SageMaker, Bedrock, etc.).
  • DevOps Skills: Knowledge of Terraform, CI/CD pipelines, containerization (Docker, Kubernetes).
  • Agentic Systems: Exposure to building and deploying agentic or multi-agent workflows.
  • Frameworks: Familiarity with orchestration tools such as LangChain, AutoGen, CrewAI, or similar.
  • Soft Skills: Excellent problem-solving, communication, and collaboration skills.
  • Education: Bachelor’s degree in Computer Science, Engineering, or equivalent work experience.

Preferred / Nice-to-Have Skills

  • Experience with Azure or Google Cloud AI services.
  • Understanding of AI ethics, risk mitigation, hallucination handling, and bias reduction.
  • Experience building prototype-level data pipelines for AI training and evaluation.