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Entry Level Artificial Intelligence Trainer Jobs

AJAIA

Artificial Intelligence Trainer

Manhattan, NY · On-site

$30 - $300/hr

AI Strategy and Advisory, AI Engineering and Automation, Workforce Training and Enablement, and Custom Product Development. In addition to client services, Ajaia builds proprietary AI products ...

AJAIA

Artificial Intelligence Trainer

Manhattan, NY · On-site

$30 - $300/hr

AI Strategy and Advisory, AI Engineering and Automation, Workforce Training and Enablement, and Custom Product Development. In addition to client services, Ajaia builds proprietary AI products ...

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Entry Level Artificial Intelligence Trainer information

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How much do entry level artificial intelligence trainer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for entry level artificial intelligence trainer in the United States is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $26.44 per hour, depending on experience, location, and employer.

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

AspectEntry Level Artificial Intelligence TrainerData Annotator
Required CredentialsBasic understanding of AI concepts, some technical skillsMinimal formal credentials, training provided on the job
Work EnvironmentCollaborative teams, tech companies, AI labsData labeling centers, remote or on-site
Employer & Industry UsageTech firms, AI startups, research institutionsData companies, AI development projects
Search & Comparison IntentUnderstanding entry-level AI roles, training requirementsJob duties, skills needed for data labeling

Entry Level Artificial Intelligence Trainers focus on training AI models through supervised learning, requiring some technical knowledge. Data Annotators primarily label data to prepare datasets, often with minimal formal credentials. Both roles are essential in AI development but differ in responsibilities and skill requirements.

What are the key skills and qualifications needed to thrive as an Entry Level Artificial Intelligence Trainer, and why are they important?

To thrive as an Entry Level Artificial Intelligence Trainer, you need a solid understanding of data labeling, basic programming concepts, and strong analytical skills, often supported by a bachelor’s degree in a related field. Familiarity with annotation tools, version control systems like Git, and platforms such as Python or TensorFlow is typically expected. Attention to detail, effective communication, and adaptability are crucial soft skills for accurately interpreting guidelines and collaborating with AI development teams. These skills ensure high-quality data preparation and model training, which are foundational for building effective AI systems.

What does an Entry Level Artificial Intelligence Trainer do?

An Entry Level Artificial Intelligence Trainer helps to improve AI models by providing feedback, labeling data, and evaluating model outputs. They work closely with datasets, ensuring that information is accurate and relevant, which in turn helps AI systems learn and perform better. This role often involves tasks like reviewing text, images, or audio and following detailed guidelines to train and fine-tune AI algorithms. It is a great way to enter the field of artificial intelligence without needing extensive technical experience.

What are some common challenges faced by Entry Level Artificial Intelligence Trainers, and how can they be overcome?

Entry Level Artificial Intelligence Trainers often encounter challenges such as quickly learning to annotate large datasets accurately and consistently, understanding complex labeling guidelines, and keeping up with evolving AI project requirements. To overcome these obstacles, it's important to communicate regularly with team leads, ask clarifying questions when unsure about instructions, and participate actively in training sessions provided by the organization. Building strong attention to detail and being adaptable to feedback also helps improve performance and supports the overall quality of AI models.
More about Entry Level Artificial Intelligence Trainer jobs
What are the most commonly searched types of Artificial Intelligence Trainer jobs? The most popular types of Artificial Intelligence Trainer jobs are:
What job categories do people searching Entry Level Artificial Intelligence Trainer jobs look for? The top searched job categories for Entry Level Artificial Intelligence Trainer jobs are:
Entry Level Artificial Intelligence Trainer jobs near you
Infographic showing various Entry Level Artificial Intelligence Trainer job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 1% As Needed, 85% Full Time, 8% Part Time, 3% Contract, and 1% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $51,453 per year, or $24.7 per hour.
Entry Level Artificial Intelligence/Machine Learning/Data Science

Entry Level Artificial Intelligence/Machine Learning/Data Science

SynergisticIT

Jersey City, NJ

Other

Posted 12 days ago

Job description

Entry Level Artificial Intelligence/Machine Learning/Data Science

Greetings, My name is Anand and I'm an IT recruiter at Synergistic IT. Our records show that you are an experienced IT professional with experience in Entry Level Artificial Intelligence/Machine Learning/Data Science. This experience is relevant to one of my current openings.

Location: NY, NJ, CA, TX Type: Contract/Fulltime Experience: 0-1+ Years Required Technical and Professional Expertise:

  • Demonstrated work experience in an education-related field, training, program/project management
  • Proven track record of driving project timelines to meet program objectives

Preferred Technical and Professional Expertise:

  • Having knowledge of or experience with some IBM's specific technology offerings in areas such as Data Science, AI, as well as Open Source products such as Python.
  • Basic knowledge with Adobe Captivate, Camtasia and/or Adapt
  • Proven work experience in an education-related field in Data Science, Machine Learning and AI
  • Instructional Design knowledge
  • Masters of Science degree in Analytics, Data Science, or related field

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