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Ai Training Entry Level Jobs (NOW HIRING)

Regal

AI Product Specialist

New York, NY · On-site

The AI Agent Product Specialist role starts with two weeks of intensive training where you will ... We view this role as a jumping off point for entry-level talent looking to start their careers in ...

Raspberry AI

GTM Associate

New York, NY · On-site

$44K - $60K/yr

... Raspberry AI. This is not a typical entry-level outbound role. Our GTM Associates run real ... elite sales training, and a clear path to AE promotion (target timeline ~18 months for top ...

Aerotek

Entry Level Production Worker

Plymouth, MA

$19.60/hr

Immediate Openings - Entry-Level Production Worker (No Experience Needed, Paid Training) 🚨 Start ... AI helps assess applications and qualifications, but final decisions are made by our hiring team.

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Ai Training Entry Level information

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$32K

$68.7K

$112K

How much do ai training entry level jobs pay per year?

As of Jul 7, 2026, the average yearly pay for ai training entry level in the United States is $68,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $84,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by entry-level AI training specialists, and how can they overcome them?

Entry-level AI training specialists often encounter challenges such as understanding various data labeling guidelines, maintaining consistency in annotations, and adapting to fast-evolving project requirements. To overcome these hurdles, it's helpful to ask clarifying questions, actively participate in team discussions, and make use of available documentation and training materials. Building strong communication with team leads and quality assurance reviewers also ensures feedback is implemented quickly, leading to both personal growth and improved project outcomes.

What is an AI Training Entry Level job?

An AI Training Entry Level job typically involves helping to prepare and label data used to train artificial intelligence systems. This may include tasks like categorizing images, transcribing audio, or providing feedback on machine-generated outputs. Workers in these roles play a crucial part in improving the accuracy and reliability of AI models by ensuring the data used to teach these systems is high-quality and well-organized. No advanced technical background is usually required, making it accessible for those new to the AI field. These roles can be a good starting point for building a career in artificial intelligence and machine learning.

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

AspectAi Training Entry LevelData Annotator
Required CredentialsHigh school diploma or equivalent; basic understanding of AI conceptsHigh school diploma; attention to detail
Work EnvironmentOffice or remote; collaborative with AI teamsRemote or on-site; focused on labeling data
Industry UsageAI development, machine learning projectsData preparation for AI and ML models
Common Search IntentEntry-level AI roles, AI training jobsData labeling, annotation jobs

In summary, Ai Training Entry Level roles focus on assisting in training AI models by providing labeled data and understanding basic AI concepts, while Data Annotators primarily focus on labeling data to prepare datasets for AI training. Both roles are essential in AI development but differ slightly in scope and responsibilities.

What are the key skills and qualifications needed to thrive as an AI Training Entry Level professional, and why are they important?

To thrive as an AI Training Entry Level professional, you need strong analytical thinking, attention to detail, and basic knowledge of data annotation or computer science concepts, often supported by a high school diploma or some college coursework. Familiarity with labeling tools, content management systems, and platforms such as Labelbox or Amazon SageMaker Ground Truth is typically required. Reliability, effective communication, and adaptability help you stand out in this position. These skills are crucial for producing high-quality, accurate training data that directly impacts the performance of AI models.
More about Ai Training Entry Level jobs
What cities are hiring for Ai Training Entry Level jobs? Cities with the most Ai Training Entry Level job openings:
What are the most commonly searched types of Ai Training jobs? The most popular types of Ai Training jobs are:
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What job categories do people searching Ai Training Entry Level jobs look for? The top searched job categories for Ai Training Entry Level jobs are:
Ai Training Entry Level jobs near you
Infographic showing various Ai Training Entry Level job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,682 per year, or $33 per hour.
AI & Data Engineering Apprentice

AI & Data Engineering Apprentice

Simple Technology Solutions

Alexandria, VA

Full-time

Posted 9 days ago

Job description

At Simple Technology Solutions, our people are our priority. We know our team members are more than employees—they're parents, friends, volunteers, artists, and athletes. That's why we offer flexibility to help them thrive personally and professionally while delivering exceptional solutions to our Federal Government clients.

Our culture is built on collaboration, continuous learning, and excellence. We are mentors and thought leaders who share knowledge and foster growth. Recognized as a "Best Place to Work," we believe a range of perspectives helps us drive innovation and exceed customer expectations. At STS, taking care of our people isn't a perk—it's the standard.

As a HUBZone company, we also offer special incentives for team members living in qualified HUBZones. Check out the HUBZone map HERE to see if you qualify!

Simple Technology Solutions is looking for an AI & Data Engineering Apprentice to add to our team.

Quick Position Overview

  • US Citizenship is required
  • High School Diploma or equivalent is required; Bachelor's Degree preferred
  • No prior professional experience required — this is an entry-level apprenticeship program
  • Strong interest in Artificial Intelligence, Data Engineering, Cloud Technologies, or Software Development is required
  • Must be a motivated, driven, and continuous learner

The Role

The STS AI & Data Engineering Apprenticeship is a year-long, structured program designed to develop the next generation of AI, data, cloud, and automation professionals through hands-on projects, mentorship, and real-world experience. STS takes an individualized approach — each apprentice receives a customized development roadmap built around their career goals, current skills, and alignment with STS business needs. The program spans three progressive phases: foundational skills development, applied learning alongside experienced STS mentors, and a career transition period that supports a smooth entry into a full-time professional consulting role. By program completion, apprentices will have the technical, professional, and consulting skills to contribute meaningfully to AI, data, cloud, and digital transformation initiatives at STS and for our federal and commercial clients.

The AI & Data Engineering Apprentice at STS will:

  • Complete structured learning plans covering AI, machine learning, data engineering, cloud platforms, and software development fundamentals.
  • Participate in hands-on labs, guided exercises, and practical projects to build a strong technical foundation.
  • Pursue industry certifications in relevant technology areas as outlined in their individualized development roadmap.
  • Engage in pair programming, collaborative development, and AI solution-building projects alongside experienced STS mentors.
  • Contribute to internal innovation and automation projects, data engineering initiatives, and cloud modernization efforts.
  • Develop proficiency with leading AI tools and platforms, including generative AI frameworks, LLMs, cloud services, and data analytics platforms.
  • Apply responsible AI, data governance, and security best practices throughout all work.
  • Participate in professional development coaching, career planning, and client engagement preparation activities.
  • Transition into a full-time STS consulting role upon successful completion of the program, with continued mentorship during the first 90 days of employment.

Education and Experience

Required

  • High School Diploma or GED equivalent
  • No prior professional experience required; this is an entry-level program
  • Demonstrated interest in technology, data, or AI through coursework, self-study, personal projects, or extracurricular activities
  • Strong analytical thinking and problem-solving skills
  • Effective written and verbal communication skills
  • Ability to work independently and collaboratively in a fast-paced, project-driven environment
  • Commitment to continuous learning and professional growth throughout the duration of the program

Preferred

  • Bachelor's Degree in Computer Science, Information Technology, Data Science, or related field (in progress or completed)
  • Foundational exposure to Python, SQL, or cloud platforms (AWS or Azure)
  • Prior coursework or training in data analysis, software development, or artificial intelligence
  • Experience with collaboration tools such as GitHub or Agile project management platforms
STS is committed to equal employment opportunity and merit-based employment practices. STS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination, harassment, and retaliation in all employment practices and decisions in accordance with applicable federal, state, and local laws.

Employment decisions at STS are based on individual qualifications, performance, skills, and business needs, without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, sexual orientation, gender identity, genetic information, marital status, or any other status protected by applicable law.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, compensation, training, transfer, discipline, termination, layoff, recall, and leaves of absence.
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Applicants may request removal from our applicant database, or specific information about how the data is used by contacting recruiting@simpletechnology.io.