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Generative Ai No Experience Jobs (NOW HIRING)

Meta

Partner Engineer, Generative AI

Menlo Park, CA · On-site

$149K/yr

Partner Engineer, Generative AI Responsibilities: * Apply relevant AI and machine learning ... Experience communicating and presenting to technical and business audiences Preferred ...

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 ...

Cotiviti

Intern - Generative AI/Agentic AI/Research

$32 - $40/hr

Gain hands-on experience in generative AI model development, architecture design, and database ... No adverse environmental conditions are expected. Base compensation ranges from $32.00 to $40.00 ...

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

Maintains a deep understanding of technology trends and hands-on experience with relevant ... No adverse environmental conditions are expected. Base compensation ranges from $32.00 to $40.00 ...

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

Maintains a deep understanding of technology trends and hands-on experience with relevant ... No adverse environmental conditions are expected. Base compensation ranges from $32.00 to $40.00 ...

Sia

Associate Consultant, Generative AI

Manhattan, NY · On-site

Experience with or understanding of the Model Context Protocol (MCP) * Hands-on fine-tuning ... Access to wellness programs at no cost if enrolled through Medical plan, including: * Employee ...

SS&C Technologies

... Generative AI ... The ideal candidate is a strong technologist with experience across web applications, data analysis ...

Truveta

ML Postdoc Researcher - LLMs & Generative AI

... experience with state-of-the-art architectures • Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI • Solid programming ...

Welo Global

Generative AI Analyst | Spanish (US)

$15/hr

Experience in Generative AI evaluation, data annotation, translation, linguistics, content quality ... No coding required-just your expertise. Limitless Support Be part of a global contributor community ...

Innodata Inc.

Generative AI Associate

$15/hr

We're on the lookout for smart, savvy, and curious Generative AI Specialist to join our global ... experience, skills, and qualifications.

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

As of Aug 26, 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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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.

Partner Engineer, Generative AI

Menlo Park, CA • On-site

Meta
Internet and IT • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

People enjoy working here

Good employer

Recommended by students

Learn more about Metaexternal

$149K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Meta is seeking a Partner Engineer to join Meta’s AI Partner Engineering team, a technical team that works with strategic partners, machine learning organizations across the industry and all major cloud service providers for building and launching new Generative AI product services and experiences, and taking Large Language Models (LLMs) from research to production. In this role, you will engage with strategic partner companies and work closely with our Llama engineering and AI research teams. You will also represent Meta at developer conferences and events. You will be required to develop technical accelerators, case studies, white papers, blogs, reference architectures, and/or presentations to evangelize Meta’s AI design patterns and best practices.
Partner Engineer, Generative AI Responsibilities:
  • Apply relevant AI and machine learning techniques to build and launch generative AI solutions using Meta’s Llama and other state of the art LLMs
  • Understand Meta’s AI, Llama architecture, frameworks, products and their underlying implementation
  • Define and execute on a strategy to drive adoption of Llama and other Meta’s AI/ML platform offerings
  • Work closely with cloud providers (e.g. AWS, Azure, GCP) and Meta’s strategic partners on deep learning & Llama integrations
  • Serve as a technical point of contact for partners and internal teams at Meta, providing guidance on AI architecture and integration patterns
  • Evangelize Llama & Gen AI services and share best practices through forums such as medium blogs, whitepapers, reference architectures and public engagement events
  • Develop reference architectures, samples and other materials to share with the broader Meta developer community
  • Work with key partners and Llama developer community to optimize existing generative AI models for improved performance, scalability, and efficiency
  • Lead technical strategy and roadmap for long-term strategic partners with high level of autonomy to own and navigate long-term technical relationships with partners
  • Proactively communicate feedback, updates, status to direct team as well as relevant cross-functional teams
  • Create clear and concise documentation, including technical specifications, best practices guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders internally and externally

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 2+ years of experience as a software engineer, technical consultant or partner/sales engineer
  • 2+ years of experience in one or more of the following areas: Deep Learning, LLMs, NLP, Speech, Conversational AI, AI infrastructure, Fine-tuning and optimizations of PyTorch models
  • Software development experience in languages like Python, Java, Go, Rust, C/C++. (at least one)
  • Experience with at least one LLM such as Llama, GPT, Claude, Falcon, etc
  • Experience with at least one deep learning framework such as PyTorch and/or JAX
  • Experience communicating and presenting to technical and business audiences

Preferred Qualifications:
  • (Nice to have) Knowledge of Mobile/IoT for deploying ML models at the edge is a plus
  • Experience building Deep Learning, Gen AI - Computer Vision or Natural Language Processing models using the frameworks
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • (Nice to have) Experience of launching a product / service or application into market is a plus
  • Data science background and experience manipulating/transforming data, model selection, model training, model optimization and deployment at scale
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • (Nice to have) Contributed to an Open Source project, submitted PRs for features/ fixed bugs and/or created sample applications in OSS or participated in Kaggle competitions
  • Experience working with internal and external partners
  • Solid understanding of at least one Deep Learning framework (PyTorch, Tensorflow, Jax)
  • Experience influencing technical and business stakeholders through presentations, written proposals, and partner engagements
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience applying relevant AI and machine learning techniques to build production solutions
  • Experience deploying production-grade machine learning solutions on public cloud platforms (like AWS)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$149,000/year to $210,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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