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Training Ai Models Jobs (NOW HIRING)

Kaspar Companies

AI Specialist

Shiner, TX · On-site

This role is responsible for training AI models, implementing AI solutions, and enhancing manufacturing processes through innovative technologies. Responsibilities : • Train and refine AI models ...

NVIDIA

Solutions Architect, AI Models

Santa Clara, CA · On-site

$74 - $97.50/hr

... training, post-training, reinforcement learning (RL), evaluation, and model optimization. • ... AI solutions. • As we work with customers across multiple industries, we help improve NVIDIA ...

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 ...

Nvidia

Solutions Architect, AI Models

Santa Clara, CA

$74 - $97.50/hr

Tackle sophisticated AI challenges by applying skills across the AI model lifecycle-from data processing and orchestration to training, post-training, reinforcement learning (RL), evaluation, and ...

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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Training Ai Models information

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How much do training ai models jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for training ai models in the United States is $42.21, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $53.85 per hour, depending on experience, location, and employer.

Can I get paid to train AI models?

Training AI models is a job that can be paid, especially for roles such as AI trainers, data annotators, or machine learning engineers. These positions often require skills in data labeling, programming, and understanding AI algorithms, and compensation varies based on experience and project scope.

What are some common challenges faced when training AI models, and how are they addressed on the job?

One of the most common challenges in training AI models is handling large, complex datasets that often contain errors or inconsistencies, which can impact model performance. Professionals in this role frequently collaborate with data engineers and subject matter experts to clean and properly label data, as well as implement quality assurance checks throughout the process. Additionally, tuning model parameters and addressing issues such as overfitting or underfitting often require experimentation and iterative testing. Most teams employ version control and hold regular review sessions to ensure best practices are followed, making collaboration and communication essential parts of overcoming these challenges.

What is a Training AI Models job?

A Training AI Models job involves developing, refining, and optimizing machine learning models by providing them with relevant data, adjusting parameters, and evaluating their performance. Professionals in this role clean and preprocess data, select appropriate algorithms, and fine-tune models for accuracy and efficiency. They may also work with engineers and researchers to ensure models generalize well to real-world applications. The goal is to create AI systems that perform specific tasks effectively, such as natural language processing, image recognition, or predictive analytics.

How to become an AI model trainer?

To become an AI model trainer, you typically need a background in computer science, data science, or related fields, along with skills in programming languages like Python and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge of data preprocessing, model evaluation, and annotation tools is essential, and some roles may require certifications or specialized training in AI and machine learning. Practical experience through projects or internships can also improve job prospects in this field.

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 the models they work on. Salaries can vary based on skills in machine learning, data annotation, and familiarity with tools like Python or TensorFlow.

What are the key skills and qualifications needed to thrive in the Training Ai Models position, and why are they important?

To thrive in Training AI Models, you need strong programming skills in languages like Python, a solid understanding of machine learning concepts, and typically a degree in computer science, data science, or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and familiarity with data preprocessing and annotation tools are commonly required; certifications in AI or data science can be advantageous. Effective communication, keen attention to detail, and collaboration are vital soft skills for working with cross-functional teams and ensuring data quality. These abilities are crucial for developing accurate models, delivering impactful AI solutions, and maintaining high standards throughout the model development lifecycle.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI researchers, machine learning directors, or AI executives, which offer compensation in that range. These roles often require advanced skills in data science, deep learning, and experience with AI tools and frameworks, along with leadership responsibilities and industry expertise.
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Training Ai Models jobs near you
Infographic showing various Training Ai Models job openings in the United States as of July 2026, with employment types broken down into 45% Full Time, 9% Part Time, and 46% Contract. Highlights an 55% In-person, and 45% Remote job distribution, with an average salary of $87,800 per year, or $42.2 per hour.

Drone Pilot for AI Training and Data Collection

TSMG

San Francisco, CA • On-site

Full-time

Re-posted 16 days 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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