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Generative Ai No Experience Jobs (NOW HIRING)

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

Required : • Experience training and deploying generative models (diffusion, autoregressive, or ... Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded ...

Jobtailor

Senior Developer - Generative AI

Phoenix, AZ · On-site

$140 - $190/hr

Hands-on experience building Generative AI or agentic applications * Experience with Google Agent Development Kit * Experience integrating Gemini models using Vertex AI or Google Gen AI SDKs

New

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

$200K - $400K/yr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is ... Experience training and deploying generative models (diffusion, autoregressive, or related ...

Innodata Inc.

Generative AI Associate

$15/hr

We provide a range of transferable solutions, platforms, and services for Generative AI / AI ... on experience, skills, and qualifications. Please be aware of recruitment scams involving ...

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

Required : • Experience training and deploying generative models (diffusion, autoregressive, or ... Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded ...

Cognizant

Generative AI Lead Engineer

Dallas, TX · On-site

$120 - $140/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong experience in Generative AI, LLMs, and prompt engineering * Hands-on experience building applications using .NET, React, Python, or similar technologies * Experience designing AI/ML ...

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How much do generative ai no experience jobs pay per year?

As of Aug 19, 2026, the average yearly pay for generative ai no experience in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What are generative AI jobs for people with no experience?

Generative AI jobs for people with no experience are entry-level roles that involve working with artificial intelligence systems designed to create content, such as text, images, or music. These roles may include positions like AI prompt engineer, data annotator, AI content reviewer, or junior AI research assistant. Many employers provide on-the-job training and look for candidates who are curious, willing to learn, and have basic computer skills. While having a background in computer science or data analysis can help, it's not always required, as many companies are open to training motivated individuals. Building foundational skills through online courses or tutorials can also improve your chances of landing a generative AI job.

What types of entry-level tasks can someone expect in a generative AI role with no prior experience?

In an entry-level Generative AI position, you'll likely start with tasks such as data preprocessing, organizing datasets, and assisting in the evaluation of AI-generated outputs. You may also help with documentation, support the training and fine-tuning of models under supervision, and participate in team meetings to learn about project goals and methodologies. These responsibilities help you build a strong foundation in AI workflows and provide opportunities to collaborate closely with more experienced engineers and researchers.

What are the key skills and qualifications needed to thrive in an entry-level generative AI role, and why are they important?

To thrive in an entry-level Generative AI role, a basic understanding of programming (especially Python), foundational knowledge of machine learning concepts, and a willingness to learn are essential, even without prior direct experience. Familiarity with tools like TensorFlow, PyTorch, and cloud platforms (such as AWS or Google Cloud) is highly beneficial, as are completion of online courses or certifications in AI or data science. Strong problem-solving skills, curiosity, effective communication, and adaptability help candidates stand out and learn quickly on the job. These skills and qualities are crucial for keeping pace with rapidly evolving AI technologies and contributing effectively to team projects.

How to start a career in generative AI?

To start a career in generative AI, develop skills in programming languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and gain understanding of neural networks and deep learning concepts. Building a portfolio of projects and obtaining relevant certifications can also improve job prospects in this field.
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Generative Ai No Experience jobs near you
Infographic showing various Generative Ai No Experience job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Helix AI Engineer, Generative AI

Figure

San Jose, CA • On-site

Full-time

Re-posted 12 days ago

Job description

Job Summary:
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. They are seeking a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world.
Responsibilities:
• Design, train, and deploy large-scale generative models, with a focus on diffusion-based approaches for vision, video, and multimodal data
• Develop models that improve robot perception, world modeling, and prediction from raw sensory inputs
• Build generative systems for synthetic data creation, augmentation, and dataset scaling for robot learning
• Explore and implement state-of-the-art techniques in diffusion, generative modeling, and multimodal foundation models
• Optimize training pipelines for large-scale generative models across distributed systems
• Work closely with data, training infrastructure, and agent teams to integrate generative models into the full autonomy stack
• Evaluate model quality, robustness, and generalization across real-world scenarios
• Contribute to the design of scalable experimentation frameworks for generative model development
Qualifications:
Required:
• Experience training and deploying generative models (diffusion, autoregressive, or related approaches) at scale
• Strong understanding of modern deep learning techniques for vision and/or multimodal systems
• Proficiency in Python and deep learning frameworks such as PyTorch
• Experience working with large-scale datasets and distributed training systems
• Strong experimental rigor and ability to iterate quickly on model performance
• Solid software engineering skills and ability to build reliable, maintainable systems
• Ability to operate independently and own ambiguous, high-impact technical problems
Preferred:
• Experience with diffusion models for image or video generation
• Experience with multimodal foundation models (vision-language or vision-language-action)
• Background in synthetic data generation or simulation for robotics or embodied AI
• Experience optimizing large-scale training (multi-node, GPU clusters, etc.)
• Familiarity with 3D, video prediction, or world models
• Prior work in robotics, embodied AI, or real-world ML systems
• Publication record in machine learning, computer vision, or generative modeling
Company:
Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is headquartered in San Jose, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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