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Freelance Training Ai Models Jobs (NOW HIRING)

Outlier

Russian Freelance Writer

Outlier helps the world's most innovative companies improve their AI models by providing human ... This freelance opportunity is remote and hours are flexible, so you can work whenever is best for ...

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Freelance Training Ai Models information

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$14

$47

$132

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

As of Jul 16, 2026, the average hourly pay for freelance training ai models in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is the difference between Freelance Training Ai Models vs Data Annotator?

AspectFreelance Training Ai ModelsData Annotator
CredentialsBasic understanding of AI, machine learning, and data handlingAttention to detail, basic technical skills
Work EnvironmentRemote, project-based, flexible hoursRemote or on-site, task-specific
Industry UsageAI development, machine learning projectsData labeling for AI training
Search/Comparison IntentTraining AI models independently or as a freelancerLabeling data for AI models

Freelance Training Ai Models involves developing and fine-tuning AI models, requiring a broader understanding of machine learning. Data Annotator focuses on labeling data to train AI, often with less technical expertise. Both roles are remote and industry-related but differ in scope and technical requirements.

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What are the most commonly searched types of Training Ai Models jobs? The most popular types of Training Ai Models jobs are:
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Freelance Training Ai Models jobs near you
Infographic showing various Freelance Training Ai Models job openings in the United States as of July 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 43% In-person, and 57% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Drone Pilot for AI Training and Data Collection

TSMG

San Francisco, CA

Full-time

Re-posted 11 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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