ZipRecruiter

Log In

1

Training Ai Models Job Jobs (NOW HIRING)

Nvidia

Solutions Architect, AI Models

Santa Clara, CA · On-site

$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 · 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 ...

next page

Showing results 1-20

All JobsTraining Ai Models Job Jobs

Training Ai Models Job information

See salary details

$15

$42

$77

How much do training ai models job jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for training ai models job 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.

What is the difference between Training Ai Models Job vs Data Scientist?

AspectTraining Ai Models JobData Scientist
Required CredentialsBachelor's in CS, AI, or related field; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often includes advanced degrees
Work EnvironmentTech companies, AI startups, research labs; focus on model developmentVarious industries including finance, healthcare, tech; data analysis and modeling
Employer & Industry UsagePrimarily in AI/ML-focused roles within tech sectorsAcross multiple sectors using data-driven decision making

Training Ai Models Jobs focus on developing and fine-tuning AI models using machine learning techniques, often requiring programming and technical skills. Data Scientists analyze data, build models, and generate insights across various industries. While both roles involve data and algorithms, Training Ai Models Jobs are more specialized in model training, whereas Data Scientists have broader analytical responsibilities.

More about Training Ai Models Job jobs
What job categories do people searching Training Ai Models Job jobs look for? The top searched job categories for Training Ai Models Job jobs are:
Training Ai Models Job jobs near you

Drone Pilot for AI Training and Data Collection

TSMG

Manhattan, NY • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Drone Pilot For Ai & Autonomous Systems Training

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 European Union Aviation Safety Agency (EASA) 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 (EASA 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!

Apply