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Seasonal Software Developer Ai Trainer Jobs (NOW HIRING)

PROLIM Global Corporation

AI Software Developer

AI Software Developer Location: Minneapolis, MN(Remote) As a AI Software Developer, you will design and implement advanced AI/ML solutions that transform healthcare technology. You'll work on cutting ...

New

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 ...

Oracle

Senior Software Developer - AI Infra Compute

Austin, TX · On-site

$54 - $71.25/hr

... the software engineering division, you will * Designing, implementing, and delivering software, firmware for managing GPU based AI servers * Working closely with product teams to debug, resolve ...

Curve Dental

AI/ML Software Developer

Working alongside our AI Platform Software Developer, Architecture team, and highly skilled ... Building, training, evaluating, deploying, monitoring, and continuously improving machine learning ...

GeoDelphi

AI Software Developer

Alexandria, VA · Remote

AI Software Developer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand?

Advantive

AI Software Developer

As a Mid-Level AI Software Developer, you will own and deliver production-ready AI features end-to-end. You will work across LLM integrations, retrieval-augmented generation (RAG) systems, and AI ...

GeoDelphi

AI Software Developer

Alexandria, VA · Remote

AI Software Developer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand?

GeoDelphi

AI Software Developer

Alexandria, VA · On-site +1

AI Software Developer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand?

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 · 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 ...

Advantive

As a Mid-Level AI Software Developer, you will own and deliver production-ready AI features end-to-end. You will work across LLM integrations, retrieval-augmented generation (RAG) systems, and AI ...

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 ...

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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 13, 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
AI Software Developer

AI Software Developer

Noblesoft Technologies

Minneapolis, MN • Remote

Contractor

Re-posted 7 hours ago

Job description

Job Title: AI Software Developer
Location: Minneapolis, MN(Remote)
Job Description:    
As a AI Software Developer, you will design and implement advanced AI/ML solutions that transform healthcare technology. You’ll work on cutting-edge projects involving generative AI, NLP, and predictive analytics, collaborating with cross-functional teams to deliver scalable, secure, and innovative software. 
Must Have:
Proficiency in Python and AI frameworks (TensorFlow, PyTorch). 
Experience with cloud platforms (Azure). 
Knowledge of LLMs, RAG systems, and generative AI. 
Strong problem-solving and communication skills.
Key Responsibilities: 
Develop and deploy AI/ML models for enterprise applications. 
Implement reusable frameworks and libraries.
Collaborate with data scientists and product teams to align AI solutions with business goals. 
Optimize algorithms for performance and compliance. 
Participate in Agile ceremonies and ensure timely delivery