ZipRecruiter

Log In

2

Training Ai No Experience Jobs (NOW HIRING)

OVA.Work

Voice AI

Alpharetta, GA · On-site

... for training AI systems, or reviewing AI-generated speech to ensure it sounds authentic ... ) principles for audio • High emotional intelligence (for agent design) • Strong verbal ...

Advanced Podiatry Care

Be Seen First

Medical Assistant. NO EXPERIENCE/TRAINING NEEDED!!

Monroe, NY · On-site

$18.50 - $20/hr

No experience or certification required. We do all training . Better than retail or fast food!! No weekends!! Part time (or Full Time ), Monday to Friday (can divide days) Please be personable and ...

Dexmate

Research scientist (Robotics, AI)

Santa Clara, CA · On-site

They are seeking a Research Scientist to develop algorithms for AI model training, conduct research ... experience. • Passionate about working with robots and building robot products. • Excellent ...

Valsoft Corporation

AI Automation Engineer

The product, internal ops, customer experience, back office - if it's manual and repeatable, it ... Translate messy, manual processes into clean, reliable automated systems - using AI, no-code ...

next page

Showing results 1-20

All JobsTraining Ai JobsTraining Ai No Experience Jobs

Training Ai No Experience information

See salary details

$5

$30

$44

How much do training ai no experience jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for training ai no experience in the United States is $30.30, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $39.66 per hour, depending on experience, location, and employer.

What does a training AI job with no experience involve?

In an entry-level AI training role, your main responsibilities often include labeling data, reviewing AI-generated content for accuracy, and providing feedback to improve model performance. These positions are structured to offer on-the-job training, so you'll learn about AI processes, data annotation standards, and quality assurance practices as you work. Collaboration with data scientists, engineers, and other annotators is common, offering insight into how AI projects are managed. Over time, you'll have opportunities to take on more complex tasks and potentially advance into roles that involve project coordination or technical oversight.

What skills and qualifications are needed for a training AI job with no experience?

To thrive as an AI Training Data Annotator with no prior experience, you need strong attention to detail, basic computer literacy, and the ability to follow detailed instructions accurately. Familiarity with annotation platforms or labeling tools such as Labelbox or Scale AI is often required, with some companies providing on-the-job training or short certification courses. Strong communication, time management, and a willingness to learn help individuals stand out in this role. These skills and qualities ensure high-quality, consistent data labeling, which is crucial for building effective and unbiased AI models.

What is the difference between Training Ai No Experience vs Data Annotator?

AspectTraining Ai No ExperienceData Annotator
Required CredentialsBasic computer skills, no formal certification neededBasic understanding of data labeling, sometimes certifications helpful
Work EnvironmentRemote or office-based, working with AI training datasetsRemote or on-site, labeling data for machine learning models
Industry UsageAI development, machine learning projectsAI, machine learning, data science industries

Training Ai No Experience roles focus on preparing individuals to assist in AI training without prior experience, often involving basic data handling. Data Annotator positions involve labeling data to improve AI models, requiring some understanding of data types. Both roles are entry-level, industry-related, and often remote, making them accessible for beginners interested in AI careers.

What is a training AI job with no experience?

Training AI jobs for people with no experience typically involve tasks that help artificial intelligence systems learn and improve. These entry-level positions may include data labeling, annotating images or text, testing AI outputs, or providing feedback on AI-generated content. Many companies hire individuals without prior experience and provide on-the-job training to help them understand the guidelines and tools needed for the work. These jobs are often remote and can be a good starting point for those interested in the AI field.
More about Training Ai No Experience jobs

What cities are hiring for Training Ai No Experience jobs?

Cities with the most Training Ai No Experience job openings:

What states have the most Training Ai No Experience jobs?

States with the most job openings for Training Ai No Experience jobs include:

What job categories do people searching Training Ai No Experience jobs look for?

The top searched job categories for Training Ai No Experience jobs are:

Training Ai No Experience jobs near you
Infographic showing various Training Ai No Experience job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $63,032 per year, or $30.3 per hour.

Drone Pilot for AI Training and Data Collection

TSMG

San Francisco, CA

Full-time

Re-posted 4 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.