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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 ...

Varsity Tutors

Artificial Intelligence (AI) Tutor

FL · Remote

$18 - $40/hr

What We Look For In a Artificial Intelligence (AI) Tutor * Advanced Subject Mastery: Deep knowledge ... Skilled at breaking down neural network architectures, training optimization, and model evaluation ...

Varsity Tutors

Artificial Intelligence (AI) Tutor

Akron, OH · Remote

$18 - $40/hr

What We Look For In a Artificial Intelligence (AI) Tutor * Advanced Subject Mastery: Deep knowledge ... Skilled at breaking down neural network architectures, training optimization, and model evaluation ...

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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 Jul 16, 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 July 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $51,453 per year, or $24.7 per hour.

Artificial Intelligence Trainer

AJAIA

Manhattan, NY • On-site

$30 - $300/hr

Full-time

Re-posted 14 days ago

Job description

About the Company

Ajaia is a rapidly growing AI consultancy and product studio dedicated to helping organizations move from experimentation to real results. We operate across four core pillars: 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, copilots, and vertical solutions that solve high-value industry problems. This dual model allows us to translate hands-on implementation experience into scalable products while continuously refining our approach through real-world deployment.

Our operating model combines deep technical execution with practical change management, enabling enterprises to deploy secure, compliant, and high-impact solutions that drive measurable operational value. Mission: Help organizations win the AI moment.

Position Overview

We are looking for high-caliber professionals who can bridge the gap between AI potential and corporate reality. This is not a role for theoretical educators; it is for authoritative practitioners who can command a room and demonstrate how AI solves high-value industry problems in real-time.
You will be responsible for the Workforce Training and Enablement pillar. You will move beyond slides to show enterprise teams exactly how to integrate AI into their specific professional workflows. We are seeking "smart, well-presenting" individuals with a background that commands immediate respect from sophisticated audiences.

Primary Responsibilities
  • Deliver live, high-impact training sessions that prioritize practical application over theoretical design.
  • Execute real-time demonstrations of AI-native workflows, showcasing skills like automated synthesis, planning, and delivery acceleration.
  • Communicate with authority to professional audiences, ensuring AI concepts are translated into immediate operational value.
  • Drive workforce adoption by ensuring training outcomes produce clear business results.
  • Use AI tools to enhance estimation quality, personalize training modules, and support decision-making.
  • Ensure all training programs produce clear business outcomes and measurable operational value.
Job Requirements
  • Credible Professional Background: A sophisticated track record in high-performance fields (e.g., Finance, Consulting, Legal, or Strategy).
  • AI-Native Mastery: Demonstrated experience using AI tools and automation in a practical, daily professional context.
  • Exceptional Communication: The ability to present to, influence, and educate executive-level stakeholders with confidence.
  • Execution Mindset: A focus on shipped outcomes and measurable adoption rather than theoretical learning.
  • Adaptable Presence: Ability to manage ambiguity and shifting priorities in fast-moving environments.
Schedule and Location
  • Location: Remote (US) or Hybrid (based on project needs).
  • Schedule: 1099 Contractor; work hours are as needed with no fixed shift.
  • Travel: Limited client travel may be required.
Compensation and BenefitsCompensation (USD/year):
  • Base Rate: $30-$300/hour
  • Structure: 1099 Contractor.
  • Bonus: High-upside, performance-based bonus potential tied to delivery quality and client outcomes.
Benefits:
  • Competitive compensation with performance upside
  • Professional development support
Why Join Ajaia

You will have direct ownership of AI educational outcomes in a fast-scaling consultancy where execution quality is paramount. This role offers high-impact exposure to founders and enterprise leaders, with the opportunity to contribute to real innovation at the AI frontier. We expect all team members to be AI-native practitioners who use AI daily to improve speed and quality.

Experience the Ajaia difference. Let's build what's next.

Requirements

Job Requirements
  • Credible Professional Background: A sophisticated track record in high-performance fields (e.g., Finance, Consulting, Legal, or Strategy).
  • AI-Native Mastery: Demonstrated experience using AI tools and automation in a practical, daily professional context.
  • Exceptional Communication: The ability to present to, influence, and educate executive-level stakeholders with confidence.
  • Execution Mindset: A focus on shipped outcomes and measurable adoption rather than theoretical learning.
  • Adaptable Presence: Ability to manage ambiguity and shifting priorities in fast-moving environments.

Benefits

Compensation (USD/year):
  • Base Rate: $30-$300/hour
  • Structure: 1099 Contractor.
  • Bonus: High-upside, performance-based bonus potential tied to delivery quality and client outcomes.
Benefits:
  • Competitive compensation with performance upside
  • Professional development support