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Part Time Ai Training For Physics Jobs (NOW HIRING)

Mindrift

Research Physicist - Freelance AI Trainer

$76/hr

What we look for This opportunity is a good fit for physicians open to part-time, non-permanent ... Degree in Physics (Theoretical, Experimental, or Computational) or related fields; * 2+ years of ...

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Part Time Ai Training For Physics information

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$39K

$46.9K

$52.5K

How much do part time ai training for physics jobs pay per year?

As of Jun 16, 2026, the average yearly pay for part time ai training for physics in the United States is $46,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $50,500.00 per year, depending on experience, location, and employer.

Could I do part-time jobs to train AI?

Part-time AI training roles, such as those involving physics data annotation or model validation, are available and often flexible, making them suitable for individuals seeking part-time work. These jobs typically require skills in data labeling, understanding of AI models, and attention to detail, and they can be performed remotely or on-site depending on the employer. However, availability depends on the company's needs and the specific job requirements.

Which 3 jobs will survive AI?

Physics-related roles such as AI training specialists, data scientists, and research scientists are likely to persist as they require complex problem-solving, domain expertise, and creativity that AI cannot fully replicate. These jobs often involve designing algorithms, interpreting experimental data, and developing new theories, which depend on human insight and critical thinking.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, senior machine learning engineers, or AI executives, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leadership, strategic planning, and development of cutting-edge AI technologies, and they tend to be found in large tech companies or specialized AI firms.

What is the difference between Part Time Ai Training For Physics vs Part Time Ai Training For Mathematics?

AspectPart Time Ai Training For PhysicsPart Time Ai Training For Mathematics
Required CredentialsPhysics background, basic AI knowledgeMathematics background, basic AI knowledge
Work EnvironmentResearch labs, educational institutionsResearch labs, educational institutions
Industry UsagePhysics research, scientific AI applicationsData analysis, algorithm development
Search & Comparison IntentUnderstanding physics-focused AI trainingUnderstanding math-focused AI training

Part Time Ai Training For Physics and Part Time Ai Training For Mathematics both involve training AI models in their respective fields. Physics-focused training emphasizes understanding physical principles, while mathematics-focused training centers on mathematical algorithms. Both roles require a strong analytical background and are used in research, academia, and industry applications. The main difference lies in the subject expertise and application focus, catering to different scientific and technical needs.

Can a physicist become an AI engineer?

A physicist can become an AI engineer by acquiring skills in programming, machine learning, and data analysis, often through online courses or certifications. Their strong analytical and mathematical background can be advantageous in developing AI models and algorithms, making the transition feasible with relevant training and experience.

What are the key skills and qualifications needed to thrive as a Part-Time AI Trainer for Physics, and why are they important?

To succeed as a Part-Time AI Trainer for Physics, you need a strong background in physics, analytical thinking, and familiarity with AI concepts, often supported by a degree in physics or a related field. Proficiency with annotation platforms, data labeling tools, and possibly Python or other scripting languages is typically required. Attention to detail, clear communication, and the ability to explain complex concepts simply are crucial soft skills. These competencies ensure the accurate training of AI models and the development of high-quality, subject-specific datasets.

What is a Part Time AI Training job for Physics?

A Part Time AI Training job for Physics typically involves helping to improve artificial intelligence models that deal with physics concepts, problems, or educational content. This role may include tasks such as labeling data, reviewing AI-generated answers, creating or curating physics questions, and providing feedback to enhance the model's accuracy. The work is usually remote, flexible, and suitable for those with a background in physics or education. It's an opportunity to contribute to cutting-edge technology while working part-time hours.

What are the typical tasks and expectations for someone in a part-time AI training role focused on physics content?

In a part-time AI training position for physics, you'll typically be responsible for evaluating, annotating, and curating physics-related data to improve the performance of AI models. This may involve reviewing content, providing feedback on model outputs, or generating high-quality explanations and solutions to physics problems. The role often requires strong subject matter expertise and attention to detail, as accuracy is crucial for model improvement. Collaboration with other annotators or AI engineers may occur, but much of the work can be independent and remote, offering flexibility to balance with other commitments.
More about Part Time Ai Training For Physics jobs
What cities are hiring for Part Time Ai Training For Physics jobs? Cities with the most Part Time Ai Training For Physics job openings:
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What states have the most Part Time Ai Training For Physics jobs? States with the most job openings for Part Time Ai Training For Physics jobs include:
What job categories do people searching Part Time Ai Training For Physics jobs look for? The top searched job categories for Part Time Ai Training For Physics jobs are:
Part Time Ai Training For Physics jobs near you
Infographic showing various Part Time Ai Training For Physics job openings in the United States as of June 2026, with employment types broken down into 66% Full Time, 17% Part Time, and 17% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $46,902 per year, or $22.5 per hour.
Associate Software Engineer (Open3D) - Remote

Associate Software Engineer (Open3D) - Remote

micro1 AI

Charlotte, NC • Remote

$20 - $120/hr

Part-time

Posted 14 days ago

Job description

Job Title: Junior Software Engineer (Open 3D Engine)


Job Type: Contractor


Location: Remote


Job Summary: Join our client's team as a Junior Software Engineer (Open 3D Engine) and play a pivotal role in training next-generation AI systems for 3D environments. You will leverage your O3DE expertise, spanning the Component Entity System, Atom Renderer, and physics simulations, to generate high quality, synthetic data, enabling AI models to learn, reason, and construct high performance, AAA quality digital worlds.


Key Responsibilities:

  1. Design, develop, and implement interactive 3D scenes and simulations using Open 3D Engine (O3DE) for AI training purposes.
  2. Leverage the full suite of O3DE tools—including Atom Renderer, Component Entity System, Gems, and Asset Processor—to create high-fidelity, effective environments.
  3. Collaborate with the customer’s team to transform conceptual ideas into finished AI training workflows and simulations.
  4. Integrate Python and C++ scripts for enhanced functionality and automation within O3DE projects.
  5. Utilize AWS services to support robust, scalable 3D simulation deployment and asset management.
  6. Document processes and communicate progress clearly through strong written and verbal updates.
  7. Troubleshoot and optimize simulation performance, ensuring accuracy and efficiency for AI training objectives.


Required Skills and Qualifications:

  1. Hands-on experience with O3DE (Open 3D Engine), including a deep understanding of core tools and asset workflows.
  2. Proficiency in Python and C++ for 3D scene development and automation.
  3. Experience building interactive 3D environments from concept to completion, tailored for simulation and AI training.
  4. Familiarity with Atom Renderer, Component Entity System, Gems, and Asset Processor within O3DE.
  5. Strong written and verbal communication skills, with the ability to clearly document and present technical concepts.
  6. Basic knowledge of AWS infrastructure and its application for cloud-based development and deployment.
  7. Background in game development, simulation, or real-time graphics projects.


Preferred Qualifications:

  1. Previous experience working directly on AI training or simulation projects within O3DE.
  2. Exposure to asset management pipelines and collaborative development environments.
  3. Demonstrated initiative in adopting new O3DE tools and staying current with engine updates.

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