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Entry Level Remote Ai Trainer Jobs (NOW HIRING)

Honorhealth

AI Trainer

Remote -- Must be located in Arizona -- Occasional on site as needed. Great care starts with great ... Responsibilities: JOB SUMMARY The AI Trainer owns the human side of HonorHealth's AI rollout ...

micro1 AI

Legal AI Trainer - Remote

Odessa, TX · Remote

$90 - $150/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

micro1 AI

Legal AI Trainer - Remote

Spokane, WA · Remote

$90 - $150/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

micro1 AI

Legal AI Trainer - Remote

New Bedford, MA · Remote

$90 - $150/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

micro1 AI

Legal AI Trainer - Remote

Columbus, OH · Remote

$90 - $150/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

micro1 AI

Legal AI Trainer - Remote

Clearwater, FL · Remote

$90 - $150/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

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Entry Level Remote Ai Trainer information

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

As of Sep 6, 2026, the average hourly pay for entry level remote 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 is an entry level remote AI trainer?

An Entry Level Remote AI Trainer is a professional who helps improve artificial intelligence systems by providing feedback, labeling data, and evaluating AI outputs, often from a remote location. These roles typically require individuals to review content, assess the accuracy of AI-generated responses, or annotate data sets to help machine learning models learn and perform better. No advanced technical background is usually necessary, making it ideal for those starting their careers in AI or data-related fields. Training is often provided, and tasks can range from simple text analysis to more complex problem-solving depending on the employer.

What are the key skills and qualifications needed to thrive as an entry level remote AI trainer?

To thrive as an Entry Level Remote AI Trainer, you typically need strong written communication, critical thinking, and a basic understanding of technology, often supported by a bachelor's degree or equivalent experience. Familiarity with annotation platforms, collaboration tools, and sometimes foundational knowledge of AI concepts or data labeling systems is beneficial. Attention to detail, adaptability, and the ability to work independently are crucial soft skills for excelling in this role. These skills ensure high-quality data contributions, effective remote collaboration, and the reliable training of AI models.

What are some common challenges faced by entry level remote AI trainers, and how can they be addressed?

Entry Level Remote AI Trainers often encounter challenges such as understanding complex annotation guidelines, maintaining consistency in labeling, and managing communication across distributed teams. To address these issues, it's helpful to actively participate in training sessions, ask clarifying questions when guidelines are unclear, and leverage collaboration tools like Slack or project management platforms to stay connected with teammates and supervisors. Regular feedback sessions and quality checks also support continual improvement and help ensure high annotation accuracy.

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

AspectEntry Level Remote Ai TrainerData Annotator
CredentialsHigh school diploma or equivalent; basic understanding of AI conceptsHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote, collaborative with AI teamsRemote or on-site, focused on labeling data
Industry UsageAI development, machine learning projectsData preparation for AI and ML models
Search & Comparison IntentOften compared for entry-level AI rolesRelated but more focused on data labeling tasks

While both roles are entry-level and often remote, Entry Level Remote Ai Trainers focus on training AI models by providing feedback and refining algorithms, whereas Data Annotators primarily label and prepare data for AI systems. Understanding these distinctions helps job seekers identify the right role based on their skills and career goals.

How much do entry-level AI trainers make?

Entry-level AI trainers typically earn between $30,000 and $50,000 annually, depending on the company, location, and required skills. These roles often involve tasks like data annotation, model testing, and using tools such as annotation platforms or machine learning frameworks.

How to get hired as an entry level remote AI trainer?

To get hired as an entry-level remote AI trainer, candidates should have strong communication skills, basic understanding of machine learning concepts, and experience with data annotation or labeling tools. Building a portfolio of relevant projects and applying through online job platforms can improve chances, while some roles may require familiarity with specific software or training datasets.
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Entry Level Remote Ai Trainer jobs near you
Infographic showing various Entry Level Remote 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.

AI Trainer

Honorhealth

Remote

Full-time

Posted 17 days ago

HonorHealth rating

7.8

Company rating: 7.8 out of 10

Based on 211 frontline employees who took The Breakroom Quiz

136th of 898 rated healthcare providers

Job description

Primary City/State:

Virtual Arizona

Category:

Data Intelligence

Shift:

Day

Department:

Augmented Intelligence

Hours: Monday-Friday Days

Location: Remote -- Must be located in Arizona -- Occasional on site as needed.

Great care starts with great people. (Like you.)

At HonorHealth, you'll find something special. From humble beginnings in 1927 to one of Arizona's largest nonprofit healthcare systems, our culture is built on warmth and neighborly kindness. Behind every smile is a highly skilled professional with deep expertise and an unwavering dedication to what matters most - caring for the health and well-being of people and communities across the greater Phoenix area.

Responsibilities:

JOB SUMMARY

The AI Trainer owns the human side of HonorHealth's AI rollout: turning a powerful set of tools into confident, safe, and productive daily habits across the organization. This is a hands-on enablement role, not a one-time training gig. The AI Trainer designs and delivers tiered curriculum, runs live sessions and office hours, builds a self-serve learning library, cultivates a network of departmental champions, and continuously refines what we teach based on what's actually landing with users. Working alongside the AI Director and Program Manager - Workforce Productivity, the AI Trainer ensures that adoption, governance, and enablement move as one coordinated program. Because HonorHealth operates in a healthcare environment, responsible and compliant use-including HIPAA considerations and safe data-handling practices-is woven into everything this role teaches. The AI Trainer is accountable for measurable adoption outcomes, user confidence, and sustainable behavior change across all AI-enabled workflows.

ESSENTIAL FUNCTIONS
  • Curriculum Design and Training Delivery:Build a tiered curriculum (beginner through power-user) that progressively develops AI proficiency across the organization. Develop role-based training paths so clinicians, analysts, operations managers, and other roles each receive content relevant to their actual workflows. Deliver live training sessions, recorded modules, quick-reference guides, and maintain a curated prompt library. Run recurring office hours and drop-in sessions to unblock users in real time and reinforce learning. Create clear, engaging learning materials from scratch that meet users at their current skill level.
  • Wave-Based Adoption and User Enablement:Onboard each Wave cohort with a structured ramp: kickoff, hands-on sessions, follow-up, and reinforcement. Track where each cohort is on the adoption curve and intervene where usage stalls or confidence lags. Capture and recycle real internal success stories to build momentum for later Waves. Support end-user adoption through practical guidance, examples, coaching materials, and usage recommendations. Help users understand where AI adds value, where human review is required, and where escalation remains necessary.
  • Champions Network Development:Identify, train, and support a network of departmental AI champions who extend enablement beyond what one trainer can reach. Equip champions with materials, talking points, and a feedback channel back into the program. Coordinate regular champion check-ins to share best practices, address emerging challenges, and scale adoption. Recognize and celebrate champion contributions to build engagement and program visibility.
  • Responsible Use and Compliance Integration:Teach safe data-handling practices with clear guidance on PHI, HIPAA considerations, and what should and shouldn't be put into AI tools. Partner with Information Security to translate governance policy into plain-language, practical user guidance. Make responsible-AI practices a default part of every training module, not a footnote. Reinforce human review requirements, scope limits, and role clarity in all AI-supported work.
  • Measurement, Reporting, and Continuous Improvement:Define and track enablement metrics: active usage, feature adoption, session attendance, satisfaction scores, and self-reported productivity gains. Use adoption data and user feedback to continuously refine content and target underperforming areas. Report progress and insights to program leadership on a regular cadence. Maintain the program's living documentation so the enablement system keeps running as the team and tools evolve.
  • Work in lockstep with the AI Director and Program Manager - Workforce Productivity so enablement, communications, and governance stay aligned.
  • Performs other duties as assigned.

EDUCATION
  • Bachelors in Business or 4 years equivalent experience, Communications, Linguistics, Human Resources, Computer Science, Analytics, Education, Healthcare Administration, or related field Required
  • Masters in related field Preferred

EXPERIENCE
  • 2 years, Experience in training, enablement, learning & development, instructional design, or closely related role Required
  • , Demonstrated ability to teach software/technology to non-technical audiences and meet people at their skill level Required
  • , Hands-on experience with prompt engineering, M365 Copilot, or applied AI tools (or demonstrated rapid ability to master) Required
  • , Experience supporting enterprise software or AI tool rollouts at scale (hundreds of users) Preferred
  • , Familiarity with healthcare operations and data-sensitivity requirements (HIPAA/PHI awareness) Preferred
  • , Experience building or running a champions/ambassador program Preferred
  • , Comfort working with adoption analytics and using data to guide enablement decisions Preferred

LICENSE AND CERTIFICATIONS
  • AI, prompt engineering, change management, or related coursework/certification Preferred

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About HonorHealth

Sourced by ZipRecruiter

HonorHealth is a non-profit, local community healthcare system serving an area of 1.6 million people in the greater Phoenix area. The network encompasses six acute-care hospitals, an extensive medical group, outpatient surgery centers, a cancer care network, clinical research, medical education, a foundation, and community services with approximately 13,100 team members, 3,500 affiliated providers and nearly 700 volunteers. HonorHealth was formed by a merger between Scottsdale Healthcare and John C. Lincoln Health Network. HonorHealth's mission is to improve the health and well-being of those we serve.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Scottsdale, AZ, US

Year founded

2014

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