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Entry Level Ai Trainer Jobs (NOW HIRING)

$6 - $65/hr

Our partner is looking for a Business and Management Specialist - Freelance AI Trainer Project ... Flexible project-based work suitable for both experienced professionals and qualified entry-level ...

$6 - $65/hr

... AI evaluation and training ... Both experienced professionals and entry-level candidates with strong foundational knowledge and ...

$6 - $65/hr

... making processes. * Entry-level candidates with strong foundational investment knowledge and ... Exposure to advanced AI evaluation, reasoning, and training workflows. * Opportunity to work on ...

AI Product Specialist

New York, NY · On-site

$50K - $60K/yr

We're looking for an entry-level AI Product Specialist to join our Product organization. This role ... Design and deliver training sessions tailored to every function, from engineers to sales to finance ...

AI Product Specialist

New York, NY · On-site

$50K - $60K/yr

We're looking for an entry-level AI Product Specialist to join our Product organization. This role ... Design and deliver training sessions tailored to every function, from engineers to sales to finance ...

AI Product Specialist

New York, NY · On-site

$50K - $60K/yr

We're looking for an entry-level AI Product Specialist to join our Product organization. This role ... Design and deliver training sessions tailored to every function, from engineers to sales to finance ...

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Entry Level Ai Trainer information

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$36

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

As of Sep 2, 2026, the average hourly pay for entry level ai 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 does an entry level AI trainer do?

An Entry Level AI Trainer helps improve artificial intelligence systems by providing feedback, labeling data, and correcting outputs generated by AI models. They typically review and annotate data such as text, images, or audio to help the AI learn and make more accurate predictions. This role often involves following detailed guidelines to ensure consistency and quality in training data. Entry-level AI trainers may also work closely with engineers and researchers to test AI models and suggest improvements.

What types of projects and tasks can an entry level AI trainer expect to work on in their first year?

As an Entry Level AI Trainer, you’ll typically be involved in annotating data, reviewing outputs from AI models, and providing feedback to improve language understanding and accuracy. Your daily tasks may include labeling text, images, or audio data, creating training datasets, and participating in quality assurance reviews. You’ll often collaborate with data scientists, machine learning engineers, and fellow trainers to ensure the AI systems are learning correctly. This hands-on experience provides a strong foundation for advancement into more specialized roles, such as data annotation lead or NLP specialist.

What are the key skills and qualifications needed to thrive as an entry level AI trainer, and why are they important?

To thrive as an Entry Level AI Trainer, you need strong analytical skills, attention to detail, and a foundational understanding of AI concepts, often supported by a bachelor's degree in a related field. Familiarity with annotation tools, data labeling platforms, and basic programming languages like Python is commonly required. Effective communication, adaptability, and the ability to follow detailed instructions are critical soft skills for this role. These skills ensure high-quality data preparation and model training, which are essential for building accurate and reliable AI systems.

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

AspectEntry Level Ai TrainerData Annotator
Required CredentialsHigh school diploma or equivalent; basic understanding of AI conceptsHigh school diploma or equivalent; attention to detail
Work EnvironmentOffice or remote; collaborative with AI teamsRemote or on-site; focused on labeling data
Employer & Industry UsageTech companies, AI startups, research labsTech firms, data companies, AI development teams
Common Search & Comparison IntentUnderstanding entry-level AI rolesData labeling and annotation jobs

Entry Level Ai Trainers focus on training AI models by providing labeled data and guiding AI learning processes, often requiring some understanding of AI concepts. Data Annotators primarily label data to prepare datasets for AI training, emphasizing attention to detail. While both roles support AI development, Entry Level Ai Trainers typically have a broader role involving model training, whereas Data Annotators concentrate on data labeling tasks.

How much do entry level AI trainers make?

Entry-level AI trainers typically earn between $40,000 and $60,000 annually, depending on location, company, and required skills such as data annotation and machine learning tools. Salaries can increase with experience, certifications, and specialized knowledge in AI frameworks.

How to get hired as an entry level AI trainer?

To get hired as an entry level AI trainer, candidates should have a basic understanding of machine learning concepts, data annotation, and relevant tools like Python or annotation platforms. Building a portfolio of projects or certifications in AI and data labeling can improve chances, along with strong communication skills and attention to detail. Entry level roles often require a willingness to learn and adapt to new technologies and processes.
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What cities are hiring for Entry Level Ai Trainer jobs?

Cities with the most Entry Level Ai Trainer job openings:

What are the most commonly searched types of Ai Trainer jobs?

The most popular types of Ai Trainer jobs are:

What states have the most Entry Level Ai Trainer jobs?

States with the most job openings for Entry Level Ai Trainer jobs include:

Infographic showing various Entry Level Ai Trainer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $51,453 per year, or $24.7 per hour.

Document Analyst - Entry Level - AI Trainer

Mercor

San Francisco, CA • Remote

$80 - $160/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Job Seeker - New Grad
Type: Contract
Compensation: $80–$160/hour
Location: Remote

Role Responsibilities

  • Review and assess domain-specific documents for quality and accuracy.
  • Provide structured feedback to ensure relevance and impact.
  • Utilize strong analytical skills to contribute to evaluation projects.
  • Work independently with flexible hours to meet project deadlines.
  • Collaborate with teams to enhance document evaluation processes.

Qualifications

Must-Have

  • Bachelor's degree (minimum)
  • 2+ years of professional experience in a relevant domain
  • Strong proficiency in Excel, PowerPoint, and Word
  • Strong document analysis and review skills
  • Attention to detail and ability to follow structured guidelines

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor