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Training Ai No Experience Jobs (NOW HIRING)

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No experience or certification required. We do all training . Better than retail or fast food!! No weekends!! Part time (or Full Time ), Monday to Friday (can divide days) Please be personable and ...

The product, internal ops, customer experience, back office - if it's manual and repeatable, it ... Translate messy, manual processes into clean, reliable automated systems - using AI, no-code ...

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How much do training ai no experience jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for training ai no experience in the United States is $30.30, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $39.66 per hour, depending on experience, location, and employer.

What does a training AI job with no experience involve?

In an entry-level AI training role, your main responsibilities often include labeling data, reviewing AI-generated content for accuracy, and providing feedback to improve model performance. These positions are structured to offer on-the-job training, so you'll learn about AI processes, data annotation standards, and quality assurance practices as you work. Collaboration with data scientists, engineers, and other annotators is common, offering insight into how AI projects are managed. Over time, you'll have opportunities to take on more complex tasks and potentially advance into roles that involve project coordination or technical oversight.

What skills and qualifications are needed for a training AI job with no experience?

To thrive as an AI Training Data Annotator with no prior experience, you need strong attention to detail, basic computer literacy, and the ability to follow detailed instructions accurately. Familiarity with annotation platforms or labeling tools such as Labelbox or Scale AI is often required, with some companies providing on-the-job training or short certification courses. Strong communication, time management, and a willingness to learn help individuals stand out in this role. These skills and qualities ensure high-quality, consistent data labeling, which is crucial for building effective and unbiased AI models.

What is the difference between Training Ai No Experience vs Data Annotator?

AspectTraining Ai No ExperienceData Annotator
Required CredentialsBasic computer skills, no formal certification neededBasic understanding of data labeling, sometimes certifications helpful
Work EnvironmentRemote or office-based, working with AI training datasetsRemote or on-site, labeling data for machine learning models
Industry UsageAI development, machine learning projectsAI, machine learning, data science industries

Training Ai No Experience roles focus on preparing individuals to assist in AI training without prior experience, often involving basic data handling. Data Annotator positions involve labeling data to improve AI models, requiring some understanding of data types. Both roles are entry-level, industry-related, and often remote, making them accessible for beginners interested in AI careers.

What is a training AI job with no experience?

Training AI jobs for people with no experience typically involve tasks that help artificial intelligence systems learn and improve. These entry-level positions may include data labeling, annotating images or text, testing AI outputs, or providing feedback on AI-generated content. Many companies hire individuals without prior experience and provide on-the-job training to help them understand the guidelines and tools needed for the work. These jobs are often remote and can be a good starting point for those interested in the AI field.
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Infographic showing various Training Ai No Experience job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $63,032 per year, or $30.3 per hour.

Training AI Optimization Program Manager II

EchoStar

Englewood, CO • On-site

$72K - $103K/yr

Full-time

Medical, Retirement

Posted 28 days ago


EchoStar rating

7.2

Company rating: 7.2 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

61st of 98 rated telecommunications companies


Job description

Company Summary

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

Our Customer Experience Operations (CXO) teams go above and beyond by simplifying lives and enhancing community access to our products and services. Behind the scenes, dedicated individuals focus on refining the experience for millions of customers across all of our brands and providing support to our field agents.

Job Duties and Responsibilities

Candidates must be willing to participate in at least one in-person interview

The Training AI Optimization and Predictive Intelligence Program Manager acts as the operational bridge between raw predictive data and actionable field performance. Moving beyond traditional ad hoc troubleshooting, this role governs the "Human Validation Layer" ecosystem to oversee the ethics, bias mitigation, and overall effectiveness of automated data models. Furthermore, this role designs and maintains the orchestration workflows that automatically trigger adaptive learning paths and skill recovery modules based on real-time data inputs for front line customer service teams.

What Success Looks Like (Objectives)
  • Orchestrate real time data and technical workflows to build, maintain, and refine the AI Predictive Models customized across our Lines of Business
  • Partner cross functionally with the internal training teams to champion the strategic transition from linear, one-size-fits-all training to a hyper personalized, AI driven micro learning architecture
  • Leverage AI tools and technology to continuously optimize processes, maximizing overall training performance and efficiency
  • Serve as the primary auditor of AI generated data and predictive flags, ensuring that automated systems remain unbiased, highly accurate, and operationally relevant
  • Build, coordinate, and refine the technical "glue" that connects performance gaps to training solutions; create frictionless workflows that push micro learning modules to agents the moment a QA score or call metric drops below a threshold
  • Translate automated insights into cohesive, digestible strategies for field management, executives, and cross functional partners
  • Continuously analyze the effectiveness of AI interventions on agent performance, maintaining documentation of processes and driving continuous improvement loops
Skills, Experience and Requirements

Core Skills and Competencies (What you’ll bring):

  • Strategic thinking at the intersection of process management and emerging technology to solve workflow challenges

  • The autonomy to identify root-cause problems and the agility to implement automated solutions

  • Experience with workflow automation tools, SQL querying, Tableau data visualization, and Snowflake data environments

  • A strong understanding of automated systems, recommendation engines, and the ability to detect model drift

  • The ability to translate, document, and present complex, machine-generated analytical findings to non-technical business partners

  • Initiative to adapt to new technology stacks and methodologies in a fast-paced environment

Minimum Requirements

  • Minimum Education: Bachelor’s Degree or equivalent work experience
  • Minimum Experience: 2 years of experience in program management or a related field
  • Required Technical Skills: Must have experience with:
    • SQL and Tableau

    • Snowflake data environments

    • Workflow automation platforms (e.g., Looker Actions, Google Apps Script)

Visa sponsorship not available for this role

Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)


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