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Part Time Teamwork Ai Jobs (NOW HIRING)

Stantec

Generative AI Developer

Austin, TX · On-site

$104K - $152K/yr

Through teamwork and collaboration, we're building a stronger, more resilient Stantec every day ... 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

Through teamwork and collaboration, we're building a stronger, more resilient Stantec every day ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Stantec

Generative AI Developer

Phoenix, AZ · On-site

$104K - $152K/yr

Through teamwork and collaboration, we're building a stronger, more resilient Stantec every day ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Shield AI

Standardization Pilot (R4736)

Dallas, TX · On-site

$130K - $200K/yr

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... Strong communication and teamwork skills * Willingness to travel and support field operations as ...

Shield AI

Standardization Pilot (R4736)

Dallas, TX

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... Strong communication and teamwork skills * Willingness to travel and support field operations as ...

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Part Time Teamwork Ai information

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

Part Time teamwork AI roles typically do not pay $10,000 a month; high earnings in AI-related jobs usually require full-time positions, specialized skills, or experience. Most high-paying jobs without a degree involve sales, entrepreneurship, or skilled trades, but earning $10,000 monthly part-time is uncommon without significant expertise or business success.

What is the difference between Part Time Teamwork Ai vs Part Time Customer Support Specialist?

AspectPart Time Teamwork AiPart Time Customer Support Specialist
Required CredentialsBasic computer skills, familiarity with AI toolsCustomer service experience, communication skills
Work EnvironmentRemote, tech-focusedRemote or on-site, client-facing
Industry UsageTech, AI, software companiesRetail, service, tech companies

Part Time Teamwork Ai roles focus on assisting AI systems and require technical familiarity, while Part Time Customer Support Specialists handle client inquiries and require strong communication skills. Both are often remote but serve different industry needs and skill sets.

How to make 2000 a week working from home?

Part Time Teamwork Ai roles typically pay hourly or per task, making earning $2000 weekly challenging without full-time hours or high-volume tasks. To reach that income, you may need to work multiple part-time positions, develop specialized skills, or pursue higher-paying freelance opportunities that leverage AI or data annotation expertise. Consistent effort, skill development, and efficient time management are essential for increasing earnings in remote roles.

What's the easiest AI job to get?

Entry-level AI-related jobs, such as data labeling or annotation roles, are often the easiest to obtain because they require minimal technical skills and typically involve following clear instructions. These positions may require basic computer literacy and attention to detail, and they often offer flexible schedules. Gaining familiarity with AI tools and platforms can improve chances of securing such roles.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior data scientist, AI research director, or machine learning executive, often requiring advanced skills, experience, and sometimes leadership responsibilities. These roles may involve developing complex algorithms, managing AI projects, or overseeing AI strategy within organizations, and they usually demand expertise in programming, data analysis, and AI tools.
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Part Time Teamwork Ai jobs near you

Generative AI Engineer (Instructor)

Sizanid Staffing

New York, NY • On-site

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.

Apply