ZipRecruiter

Log In

1

Contract Generative Ai Jobs (NOW HIRING)

Saransh Inc

Generative AI Architect

Charlotte, NC · On-site

$61.50 - $81/hr

Generative AI Architect Location: Charlotte, NC (Onsite from Day 1) Job Type ... Contract Skill Metrics: Claude Microsoft GitHub Copilot PyTorch What are the top skills required ...

Apex Systems

Generative AI Engineer

Charlotte, NC

$60 - $65.06/hr

Contract Duration: 12 Months Role Overview We are seeking a Generative AI Engineer for a contract position. This role involves the end-to-end execution of Generative AI projects, requiring a ...

SATCON Inc

Generative AI Engineer

Jersey City, NJ · Hybrid

Generative AI Engineer Overall Experience: 8+ Years (with strong Python expertise) GenAI Experience ... Hybrid (3 days onsite per week) Employment Type: Full-Time / Contract-to-Hire Interview Process:

New

next page

Showing results 1-20

People also search for

All JobsContract Generative Ai Jobs

Contract Generative Ai information

See salary details

$41K

$106K

$139K

How much do contract generative ai jobs pay per year?

As of May 30, 2026, the average yearly pay for contract generative ai in the United States is $106,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Contract Generative AI Specialist, and why are they important?

To thrive as a Contract Generative AI Specialist, you need a solid background in machine learning, deep learning, and natural language processing, often backed by a degree in computer science or related fields. Experience with frameworks like TensorFlow or PyTorch, proficiency in programming languages such as Python, and familiarity with cloud platforms and model deployment tools are typically required. Strong problem-solving skills, adaptability, and clear communication help professionals excel in dynamic project environments and collaborate with diverse stakeholders. These competencies ensure the effective design, implementation, and delivery of advanced AI solutions that meet client needs and industry standards.

What are some common challenges faced by professionals in a contract Generative AI role, and how can they be addressed?

Professionals working in contract Generative AI roles often encounter challenges such as rapidly adapting to new project requirements, integrating with existing client teams, and staying updated with the latest advancements in AI models and tools. Because contract positions may have tight deadlines and shifting priorities, effective communication and proactive project management are essential. Building a strong portfolio, maintaining up-to-date technical skills, and fostering collaborative relationships with client stakeholders can help address these challenges and lead to successful project outcomes.

What is a Contract Generative AI professional?

A Contract Generative AI professional is an expert who works on a contractual basis to develop, implement, or manage generative artificial intelligence solutions for organizations. This role typically involves creating AI models that can generate content, images, text, or other data using advanced machine learning techniques. Contract Generative AI professionals may work on specific projects such as building chatbots, automating content creation, or developing creative AI tools. Their expertise is often sought for temporary assignments, allowing companies to leverage AI capabilities without hiring full-time staff.

What is the difference between Contract Generative Ai vs Data Scientist?

AspectContract Generative AiData Scientist
Required CredentialsTypically a background in AI, machine learning, or computer science; certifications in AI tools are commonDegree in data science, statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentProject-based, often freelance or temporary contracts, working with AI models and toolsFull-time or consulting roles within organizations, analyzing data to inform decisions
Employer & Industry UsageTech companies, AI startups, research institutions focusing on AI model deploymentVarious industries including finance, healthcare, tech, and marketing, focusing on data analysis

Contract Generative Ai specialists focus on developing and deploying AI models on a contractual basis, often working with specific projects. Data Scientists analyze data to extract insights, typically in a full-time role. While both roles require technical expertise, Contract Generative Ai professionals are more specialized in AI model creation, whereas Data Scientists focus on data analysis and interpretation.

More about Contract Generative Ai jobs
What cities are hiring for Contract Generative Ai jobs? Cities with the most Contract Generative Ai job openings:
What are the most commonly searched types of Generative Ai jobs? The most popular types of Generative Ai jobs are:
What states have the most Contract Generative Ai jobs? States with the most job openings for Contract Generative Ai jobs include:
What job categories do people searching Contract Generative Ai jobs look for? The top searched job categories for Contract Generative Ai jobs are:
Contract Generative Ai jobs near you
Infographic showing various Contract Generative Ai job openings in the United States as of May 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $106,034 per year, or $51 per hour.

Generative AI Architect

Saransh Inc

Charlotte, NC • On-site

$61.50 - $81/hr

Contractor

Posted 22 days ago

Job description

Job Title: Generative AI Architect
Location: Charlotte, NC (Onsite from Day 1)
Job Type: Contract
 
Skill Metrics:
 
Claude
Microsoft GitHub Copilot
PyTorch
 
 
What are the top skills required for this role?
1. Hands on experience of driving gen AI solution using Copilot, Claude Code etc in the STLC
2. Participate in design and implementation of solutions, fine-tuning pipelines, and prompt engineering frameworks
3. Participate in cross-functional GenAI initiatives and PoC’s across entire software lifecycle

Job Description/ Responsibilities:
  • Seeking a visionary and experienced Senior Generative AI Architect to lead the design, development, and implementation of generative AI solutions across software test lifecycle.
  • The selected candidate will define the strategic roadmap for GenAI, evaluate and select appropriate architectures, and ensure the scalability, security, and performance of deployed models.
  • This is a highly collaborative role that bridges client needs, R&D innovation, and enterprise-grade AI engineering.

Key Responsibilities:
• GenAI solution in STLC
o Build/Test Solution to create test automation code for UI/API through GenAI assisted coding
o Build/Test solution for test data mining using Generative AI
• Architecture & Design
o Participate in design and implementation of solutions, fine-tuning pipelines, and prompt engineering frameworks
o Participate in cross-functional GenAI initiatives and PoC’s across entire software lifecycle
• Strategy & Roadmap
o Define GenAI adoption roadmap in alignment with client goals
o Evaluate build-vs-buy decisions and advise on vendor/platform selections
o Advocate for responsible AI practices and model governance frameworks
• Collaboration & Leadership
o Collaborate with data scientists, ML engineers, product managers, and key stakeholders
o Mentor teams in GenAI best practices, including model optimization, deployment, and safety measures
• Innovation & Experimentation
o Stay ahead of the curve on advancements in transformer architectures, LLM training, and multimodal AI.
o Prototype custom models using frameworks like LangChain, PyTorch, etc.