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Entry Level Ai Trainer Jobs (NOW HIRING)

Strike

AI Analyst I

Spring, TX · On-site

This entry-level role is ideal for candidates with a strong analytical foundation who are eager to ... Documents user manuals to describe operating procedures, and provide user training, as needed.

Strike

AI Analyst I

Spring, TX · On-site

This entry-level role is ideal for candidates with a strong analytical foundation who are eager to ... Documents user manuals to describe operating procedures, and provide user training, as needed.

Aerotek

Entry Level CNC Operator Trainee

Peoria, IL · On-site

$15 - $19/hr

... for training on CNC equipment such as mills and lathes, read and understand company blueprints ... AI helps assess applications and qualifications, but final decisions are made by our hiring team.

Regal

AI Product Specialist

New York, NY

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 ...

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Entry Level Ai Trainer information

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

As of Jun 9, 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 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.

How do I get a job in AI with no experience?

Entry level AI trainer roles often require foundational knowledge of machine learning concepts, programming skills in Python, and familiarity with data annotation tools. Gaining experience through online courses, certifications, or volunteering to label data can improve your chances; building a portfolio of projects also demonstrates your skills to employers.

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 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.

More about Entry Level Ai Trainer jobs
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Entry Level Ai Trainer jobs near you
Infographic showing various Entry Level Ai Trainer job openings in the United States as of May 2026, with employment types broken down into 44% Full Time, 48% Part Time, and 8% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $51,453 per year, or $24.7 per hour.
Associate AI Solutions Developer

Associate AI Solutions Developer

Bridgehead IT

San Antonio, TX • On-site

Full-time

Posted 14 days ago

Job description

Job Type
Full-time
Description
The Associate AI Solutions Developer / Analyst supports the design, development, and implementation of AI-enabled software, automation, and business solutions. This hybrid role combines technical development, business analysis, and AI tool configuration, working closely with senior developers and analysts to translate business needs into practical, secure, and scalable solutions.
The role is designed for an early-career professional with strong technical fundamentals, analytical aptitude, and a demonstrated interest in artificial intelligence and emerging technologies. The Associate will contribute across the solution lifecycle-from requirements gathering and prototyping through testing, deployment, and refinement-while receiving structured training and mentorship. This position offers a defined growth path with increasing responsibility and project ownership, with the expectation of progression to a mid-level role within 12-24 months.
Training & Growth
We invest in your success with structured onboarding, personalized mentorship, an individual development plan, and continuous learning opportunities (courses, certifications, AI webinars). Your entering a rapidly growing space that will require a commitment to continuous learning and improvement to with a goal to advance to mid-level role in 12-24 months.
Requirements
Key Responsibilities:
  • Contribute to developing AI-enhanced software and automation solutions, including GPT-powered features, Copilot Studio agents, custom developed AI solutions built on Azure such as Document intelligence.
  • Perform business and data analysis: map workflows, document processes, gather requirements, and translate them into technical specifications.
  • Configure and prototype conversational AI tools, test prompts, refine intents, grounding, and guardrails.
  • Support systems integration with enterprise tools (CRMs, SharePoint, data warehouses, Microsoft 365) using APIs, connectors, and secure methods.
  • Participate in quality assurance, testing, debugging, and AI-specific checks (prompt resilience, content moderation).
  • Create technical documentation, user guides, and contribute to internal knowledge bases.
  • Help enforce AI governance policies and verify output accuracy.
  • Collaborate with developers, analysts, and stakeholders in meetings and (as you grow) client discussions.

Qualifications:
  • Associate's degree in computer science, Information Systems, Engineering, or related field (relevant experience or bootcamp certification may substitute).
  • Proficiency in at least one programming language (JavaScript, PHP, C#, Java, etc.) and familiarity with web development or SQL.
  • Strong analytical and problem-solving skills, with comfort using spreadsheets and basic-to-intermediate SQL.
  • Excellent written and verbal communication skills; ability to explain technical concepts clearly.
  • Quick learner with genuine interest in AI/ML and its business applications.
  • Collaborative team player open to feedback and code reviews.

Preferred Qualifications:
  • Internship or academic projects in software development, data analysis, or AI.
  • Exposure to Microsoft Azure, Power Platform (especially Copilot Studio), or AI APIs.
  • Familiarity with data integration concepts or tools.
  • Entry-level certifications (e.g., AZ-900, PL-900).

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