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Executive Training Ai Models Jobs (NOW HIRING)

Nvidia

Solutions Architect, AI Models

Santa Clara, CA

$74 - $97.50/hr

Hands-on experience with AI model lifecycle, including evaluation, failure analysis, pre-training ... executives and engineering teams. Ways to stand out from the crowd: * Experience with and/or ...

Photon

GenAI Solution Architect - VA

Norfolk, VA · On-site

$61 - $80.25/hr

R Knowledge of state-of-the-art generative AI models such as GPT-3, DALL-E, and CLIP. Experience with Cloud infrastructure and Platforms - Azure /GCP/AWS Experience with training and evaluating large ...

Photon

GenAI Solution Architect - VA

Norfolk, VA

$61 - $80.25/hr

R Knowledge of state-of-the-art generative AI models such as GPT-3, DALL-E, and CLIP. Experience with Cloud infrastructure and Platforms - Azure /GCP/AWS Experience with training and evaluating large ...

Guild

AI Engineer

$109K - $156K/yr

Source relevant data from various channels, including databases, online sources, and internal systems, essential for training AI models. * Process raw data to make it suitable for use in machine ...

Guild

AI Engineer

$109K - $156K/yr

Source relevant data from various channels, including databases, online sources, and internal systems, essential for training AI models. * Process raw data to make it suitable for use in machine ...

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How much do executive training ai models jobs pay per year?

As of Jul 5, 2026, the average yearly pay for executive training ai models in the United States is $37,790.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $38,000.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an executive or senior researcher role, that offers a total compensation package including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, data science, and leadership, and are found in large tech companies or AI-focused organizations. Such positions are rare and usually involve significant responsibility and expertise in AI model development and deployment.

How much do AI model trainers make?

AI model trainers typically earn between $70,000 and $130,000 annually, depending on experience, location, and the complexity of models they work with. Salaries can vary based on skills in machine learning, data annotation, and familiarity with AI frameworks like TensorFlow or PyTorch.

Can I get paid to train AI models?

Yes, professionals such as AI trainers or data annotators can be paid to train AI models by labeling data, improving model accuracy, and developing training datasets. These roles often require skills in data management, machine learning tools, and sometimes certifications in AI or data science.

Which 3 jobs will survive AI?

Executive training roles that focus on leadership development, complex problem-solving, and strategic decision-making are less likely to be fully replaced by AI. Jobs requiring emotional intelligence, interpersonal skills, and adaptability—such as executive coaches, senior managers, and specialized consultants—are expected to persist. These roles often involve nuanced judgment and human interaction that AI cannot replicate fully.
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Executive Training Ai Models jobs near you
Infographic showing various Executive Training Ai Models job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $37,790 per year, or $18.2 per hour.

Drone Pilot for AI Training and Data Collection

TSMG

San Francisco, CA

Full-time

Posted 16 hours ago

Job description

We are seeking an experienced and highly skilled Drone Pilot to assist in the development and training of AI models, specifically in the areas of computer vision, sensor fusion, and autonomous navigation. The ideal candidate will be responsible for collecting high-quality data in real-world environments, contributing to the optimization of AI algorithms that power autonomous systems.

As a Drone Pilot for AI & Autonomous Systems Training, you will operate advanced drones to capture data essential for training and validating AI models that power autonomous navigation, object detection, and decision-making systems.
Key Responsibilities:
  • Pilot drones equipped with high-resolution cameras, LiDAR, thermal imaging, and other sensors to collect diverse datasets used for training AI algorithms, particularly for autonomous navigation, computer vision, and sensor fusion.
  • Capture data in various real-world conditions (e.g., urban, rural, industrial, challenging weather conditions) to expose AI systems to a wide range of environments and scenarios.
  • Execute complex drone missions with precise data collection objectives, such as aerial mapping, 3D reconstruction, obstacle detection, and object tracking.
  • Collaborate closely with AI engineers, machine learning specialists, and autonomous systems teams to ensure data collection aligns with the specific requirements of AI model training.
  • Perform post-flight data quality checks and initial preprocessing to ensure the datasets are ready for use in training AI models.
  • Operate drones in both manual and autonomous modes, supporting AI-driven flight operations where drones rely on onboard algorithms for navigation and decision-making.
  • Adhere to Federal Aviation Administration (FAA) and local aviation regulations governing drone operations, ensuring the safe and compliant conduct of all drone missions.
  • Oversee the maintenance, calibration, and troubleshooting of drones and onboard sensors to ensure the highest standards of performance and reliability.
Qualifications:
  • Commercial drone pilot certification (FAA Part 107 or equivalent), with additional certifications in safety or advanced drone technologies considered a plus.
  • Proven track record as a drone pilot, with significant experience in collecting data for industrial, research, or AI-focused applications.
  • Expertise in flying drones equipped with advanced sensors such as LiDAR, thermal cameras, RGB cameras, and multispectral sensors.
  • Familiarity with the nuances of autonomous flight, sensor integration, and machine learning workflows, especially those that involve real-time data processing.
  • Strong understanding of how drone-collected data is used for AI training, including its role in training AI for perception, navigation, and decision-making.
  • Experience in using software for flight planning, such as Pix4D, DroneDeploy, or similar platforms, and geospatial data analysis tools.
  • Familiarity with machine learning concepts, especially those related to computer vision (e.g., image segmentation, object detection, and tracking) and autonomous navigation systems.
  • Basic understanding of geospatial data processing, photogrammetry, and 3D reconstruction techniques for AI applications.
  • Strong attention to detail with a commitment to ensuring the highest quality of data collection and analysis.
  • Excellent communication and collaboration skills, with the ability to work in multidisciplinary teams.
We would be happy to get to know you and your skills better and see how we can support each other's growth.

Please apply and let's meet!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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