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Generative Ai Part Time Jobs (NOW HIRING)

Stantec

Generative AI Developer

Phoenix, AZ · On-site

$104K - $152K/yr

Stay current with emerging research, tools, and frameworks in Generative AI, Agentic AI, and multi ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Stantec

Generative AI Developer

Austin, TX · On-site

$104K - $152K/yr

Stay current with emerging research, tools, and frameworks in Generative AI, Agentic AI, and multi ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Stantec

Generative AI Developer

Denver, CO · On-site

$104K - $152K/yr

Stay current with emerging research, tools, and frameworks in Generative AI, Agentic AI, and multi ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Schonfeld

Senior AI Integration Engineer

New York, NY · On-site

$190K/yr

... Generative AI capabilities and the strategic needs of our Portfolio Managers, driving the ... professionals Part-time telecommuting permitted. Offered Wage: $190,300/year Resumes to pwilck ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Mclean, VA · On-site

$55K - $126K/yr

Experience working with LLMs, generative AI systems, or agentic frameworks * Knowledge of AI ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Generative Ai Part Time information

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How much do generative ai part time jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for generative ai part time in the United States is $25.07, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $27.16 per hour, depending on experience, location, and employer.

What job makes $10,000 a month without a degree?

A generative AI part-time role can potentially earn $10,000 a month through freelance projects, consulting, or building AI tools, especially if skilled in machine learning, programming, and AI platforms. Success depends on experience, portfolio, and demand for AI services, often requiring self-education and proficiency with tools like Python and TensorFlow.

How to make 2000 a week working from home?

Generating $2000 a week working as a Generative AI part-time involves offering specialized AI services such as content creation, chatbot development, or data annotation. Building a strong portfolio, developing skills in AI tools like GPT models, and finding clients through freelance platforms can help achieve this income level, often requiring consistent effort and skill development.

What is the difference between Generative Ai Part Time vs Data Scientist Part Time?

AspectGenerative Ai Part TimeData Scientist Part Time
Required CredentialsRelevant AI/ML certifications, programming skillsStatistics, data analysis, programming certifications
Work EnvironmentTech companies, startups, freelance projectsResearch labs, tech firms, consulting
Employer & Industry UsageAI development, content creation, automationData analysis, predictive modeling, business insights

Generative Ai Part Time roles focus on creating AI models that generate content, requiring skills in AI/ML and programming. Data Scientist Part Time roles involve analyzing data to extract insights, often requiring similar technical credentials. While both roles operate in tech environments, Generative Ai positions emphasize AI model development, whereas Data Scientist roles focus on data analysis and interpretation.

What jobs pay 2000 a day?

High-paying jobs that can reach $2,000 a day often include specialized roles such as senior consultants, freelance software developers, or expert-level consultants in fields like finance, law, or technology. These positions typically require advanced skills, significant experience, or certifications, and may involve freelance or contract work with flexible schedules.

What is a Generative AI Part Time job?

A Generative AI Part Time job involves working with artificial intelligence models that are designed to create new content, such as text, images, or music, based on training data. These roles can include tasks such as developing, fine-tuning, or evaluating generative AI models, as well as integrating them into applications. Part-time positions offer flexibility in work hours and are suitable for students, freelancers, or professionals seeking additional experience in AI. Common responsibilities may include data preparation, model testing, and collaborating with other team members on AI-driven projects.

What are the key skills and qualifications needed to thrive as a Generative AI Specialist (Part-Time), and why are they important?

To thrive as a Generative AI Specialist (Part-Time), you typically need a background in computer science, machine learning, and experience with AI model development. Proficiency with tools like Python, TensorFlow, PyTorch, and familiarity with generative models such as GANs or LLMs, as well as relevant certifications, are highly valuable. Strong analytical thinking, creativity, and collaboration skills help individuals adapt to evolving project needs and work effectively with stakeholders. These capabilities are crucial for driving innovative AI solutions and ensuring project success within limited working hours.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI startup founder, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, innovation, and significant responsibility, and they may include equity or performance-based bonuses that contribute to the high compensation. Such salaries are rare and generally found in top tech companies or successful startups with substantial AI projects.
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Generative Ai Part Time jobs near you

Generative AI Engineer (Instructor)

Sizanid Staffing

New York, NY

Part-time

Posted 24 days ago

Job description

Position: Generative AI Engineer (Instructor)

About Our Client:

Our client, a forward-thinking technology organization, is seeking an experienced Generative AI Engineer to join their team as an Instructor. This role involves not only developing innovative generative AI models and solutions but also training and mentoring teams or clients on the implementation and best practices of generative AI technologies.

Key Responsibilities:
  • Design, develop, and implement generative AI models and applications using state-of-the-art techniques.
  • Deliver training sessions, workshops, and tutorials on generative AI concepts, tools, and best practices to engineers, data scientists, and other stakeholders.
  • Create comprehensive instructional materials, including manuals, slide decks, and hands-on exercises.
  • Stay current with latest research and advancements in generative AI, NLP, and related technologies.
  • Collaborate with cross-functional teams to integrate generative AI solutions into product pipelines.
  • Provide technical guidance and support to teams adopting generative AI technology.
  • Evaluate and optimize existing AI models for performance, scalability, and robustness.
  • Assist in curriculum development for internal training programs related to AI and machine learning.

Requirements

Qualifications & Skills:

  • Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
  • Bachelors with more 6-8 years experience
  • Proven experience in developing generative AI models using frameworks such as TensorFlow, PyTorch, or similar.
  • Strong knowledge of NLP techniques, transformer architectures (e.g., GPT, BERT), and generative modeling.
  • Experience in instructional design and delivering technical training or workshops.
  • Proficiency in programming languages like Python and relevant AI/ML libraries.
  • Excellent communication and presentation skills, with ability to convey complex technical concepts to diverse audiences.
  • Familiarity with cloud AI platforms (AWS SageMaker, Google AI Platform, Azure ML) is a plus.

Preferred Qualifications:

  • Experience with prompt engineering and fine-tuning large language models.
  • Background in developing AI products or solutions in a commercial environment.
  • Strong teamwork and mentoring abilities.
  • Active contributor to AI research or open-source projects.

Benefits

Part time. Pay depends on experience.

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