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Entry Level Ai Data Trainer Jobs (NOW HIRING)

BAM Ventures

Medical AI Data Labeling Expert

Manhattan, NY · On-site

$70 - $90/hr

Join our team as a Medical AI Data Labeling Expert to help train cutting-edge AI systems for health ... You will work with medical imagery and patient data to create high-quality training datasets. Key ...

IBM

... AI adoption, generative AI, and agentic AI-enabled data transformation, working alongside ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

New

Nationwide IT Services

$138K - $189K/yr

Support development and sustainment of BI products, analytics solutions, and technical training ... AI-ready data structures. * Strong SQL and Python skills and experience integrating heterogeneous ...

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Entry Level Ai Data Trainer information

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How much do entry level ai data trainer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for entry level ai data trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What does an entry level AI data trainer do?

An Entry Level AI Data Trainer is responsible for preparing, labeling, and organizing data that is used to train artificial intelligence models. This involves tasks such as categorizing images, annotating text, and ensuring that data is accurate and relevant for machine learning algorithms. They work closely with data scientists and engineers to improve the quality of AI systems by providing clean and well-labeled datasets. The role is a great way to start a career in artificial intelligence, as it offers hands-on experience with data and insights into how AI models are developed.

What are the key skills and qualifications needed to thrive as an entry level AI data trainer?

To thrive as an Entry Level AI Data Trainer, you need strong analytical skills, attention to detail, and a foundational understanding of data annotation processes, often supported by a bachelor's degree in a related field. Familiarity with data labeling tools, content management systems, and basic programming or scripting (such as Python) is typically required. Excellent communication, teamwork, and adaptability help you effectively interpret guidelines and collaborate with cross-functional teams. These skills ensure high-quality data preparation, which is essential for developing accurate and reliable AI models.

What types of tasks and collaboration can I expect as an entry level AI data trainer?

As an Entry Level AI Data Trainer, you will primarily be responsible for labeling, annotating, and curating data sets to help improve machine learning models. Your daily tasks often include reviewing text, images, or audio and providing accurate labels according to detailed guidelines. You will frequently collaborate with data scientists, engineers, and other trainers to ensure consistency and quality in the data. This collaborative environment offers valuable exposure to the AI development process, and high performers often have opportunities to advance into more specialized roles over time.

What is the difference between Entry Level Ai Data Trainer vs Data Annotator?

AspectEntry Level Ai Data TrainerData Annotator
Required CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; no specialized certifications typically needed
Work EnvironmentOffice or remote; collaborative with AI teamsOffice or remote; focused on labeling data
Employer & Industry UsageTech companies, AI startups, research labsTech companies, data labeling services, AI firms

While both roles involve working with data, Entry Level Ai Data Trainers focus on training AI models by providing structured data and feedback, often requiring some technical understanding. Data Annotators primarily label and categorize data to prepare datasets for AI training. The roles are similar in work environment and industry but differ in responsibilities and skill requirements.

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Entry Level Ai Data Trainer jobs near you
Infographic showing various Entry Level Ai Data Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Medical AI Data Labeling Expert

BAM Ventures

Manhattan, NY • On-site

$70 - $90/hr

Other

Posted 17 days ago

Job description

Join our team as a Medical AI Data Labeling Expert to help train cutting-edge AI systems for healthcare applications. You will work with medical imagery and patient data to create high-quality training datasets.

Key Responsibilities
  • Label medical images and diagnostic data
  • Ensure data quality and consistency
  • Collaborate with medical professionals for validation
  • Follow strict privacy and compliance guidelines
  • Contribute to dataset documentation
Requirements
  • Medical degree (MD) or advanced healthcare qualification
  • Experience with medical imaging (CT, MRI, X-ray)
  • Understanding of medical AI applications
  • Attention to detail and accuracy
  • HIPAA compliance knowledge
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About BAM Ventures

Sourced by ZipRecruiter

Industry

Investment clubs and venture capital companies

Company size

1 - 10 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2014

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