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Entry Level Ai Data Rater information

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

To thrive as an Entry Level AI Data Rater, you need strong analytical skills, attention to detail, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with web browsers, online research tools, and proprietary rating platforms is typically required; some roles may also ask for knowledge of specific guidelines or quality assurance systems. Excellent communication, critical thinking, and time management are crucial soft skills for interpreting data and meeting productivity targets. These competencies ensure accurate data labeling and evaluation, directly impacting the quality of AI training and system performance.

What is the difference between Entry Level Ai Data Rater vs Data Labeler?

AspectEntry Level Ai Data RaterData Labeler
Required CredentialsHigh school diploma or equivalent; no specialized certification often neededHigh school diploma or equivalent; may require basic training
Work EnvironmentRemote or office-based; working with AI datasetsRemote or on-site; labeling data for machine learning models
Employer & Industry UsageTech companies, AI startups, data annotation firmsTech companies, data annotation services, AI development firms

Both roles involve working with data to improve AI systems, but Entry Level Ai Data Raters often focus on evaluating AI outputs, while Data Labelers primarily annotate data. The roles are similar in credentials and work environment, with slight differences in job focus.

What are the most common challenges faced by Entry Level AI Data Raters, and how can they be addressed?

One of the most common challenges for Entry Level AI Data Raters is maintaining consistency and accuracy when evaluating large volumes of data. Since the work often involves repetitive tasks and adhering to detailed guidelines, it can be easy to overlook small errors or become fatigued. To overcome this, it's helpful to take regular breaks, stay organized, and continually review the provided instructions. Collaborating with team leads or peers to clarify uncertainties can also improve performance and ensure high-quality results.

What is an Entry Level AI Data Rater?

An Entry Level AI Data Rater is a professional who evaluates, labels, and rates data—such as text, images, or search results—to help improve artificial intelligence systems. Their work ensures that AI models can better understand and process human language and behavior. This role typically involves following specific guidelines to assess the accuracy and relevance of data, providing valuable feedback that helps train machine learning algorithms. Entry level positions usually require attention to detail, basic computer skills, and the ability to follow instructions closely.
What are popular job titles related to Entry Level Ai Data Rater jobs in Wisconsin? For Entry Level Ai Data Rater jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Data Rater jobs in Wisconsin look for? The top searched job categories for Entry Level Ai Data Rater jobs in Wisconsin are:
Entry Level Ai Data Rater jobs near you
Infographic showing various Entry Level Ai Data Rater job openings in Wisconsin as of July 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 74% In-person, and 26% Remote job distribution.
AI Workforce Specialist

AI Workforce Specialist

Heartland Business Systems LLC

Clinton, WI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Heartland Business Systems rating

8.0

Company rating: 8.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

59th of 208 rated it services

Job description

Job Type
Full-time, Temporary
Description
Position Summary:
NOTE: Project up to 1 year of work.
The AI Workforce Specialist designs and delivers structured AI training programs for a customer office-based and computer-facing team members. This role helps participants build measurable proficiency in prompt engineering, workflow automation, data validation, analytics support, and responsible AI use. Success in this position is defined by the ability to translate business processes into practical AI-enabled learning experiences that improve efficiency, accuracy, and policy-aligned adoption. The role supports broader organizational transformation by helping customer team members safely integrate AI into daily work and sustain those capabilities over time.
Roles and Responsibilities/ Essential Functions:
  • Design and deliver structured AI workforce training curriculum through instructor-led sessions, workshops, labs, and applied coaching.
  • Assess employee readiness through diagnostic evaluations, prompt construction exercises, and baseline workflow performance measurements.
  • Develop and facilitate role-specific AI use cases that improve drafting, summarization, analysis, reporting, documentation, and decision-support workflows.
  • Guide customer team members in creating repeatable AI-assisted artifacts such as templates, standard operating procedures, checklists, prompts, and automation guides.
  • Ensure training and deployment activities align with governance, compliance, confidentiality, and responsible AI usage standards.
  • Measure post-training outcomes including attendance, competency completion, task-time reduction, error-rate improvement, supervisor validation, and operational follow-up.
  • Maintain training records, supporting documentation, and program materials needed for internal reporting, audit readiness, and continuous improvement.
  • Collaborate with business leaders, supervisors, and subject matter experts to prioritize workforce training needs and sustain AI adoption across departments.
  • Perform other duties as assigned by customer and/or business.

Requirements
Competencies:
  • Analytical Skills: Analytical skills looks at the ability of the individual to gather raw data and to process that data into a meaningful form.
  • Coaching and Development: Coaching and development looks at the ability of an individual to provide guidance and feedback to help others strengthen specific knowledge/skill areas needed to accomplish a task or solve a problem.
  • Communication: Ability to promote understanding through exceptional written, oral, interpersonal, and presentation skills.
  • Detail Oriented: Detail orientation looks at the ability of the individual to pay meticulous attention to all aspects of a situation or task, no matter how small or seemingly unimportant.
  • Judgment: The skill of judgment looks at the ability of the individual to form sound opinions or make decisions by evaluating available information.
  • Organized: Organizational skills looks at the ability of the individual to be structured and methodical in working skills.
  • Problem Solving: Problem solving skills looks at the ability of the individual to recognize courses of action which can be taken to handle problems or potential problems, and applying contingency plans to solve those problems.

Required Experience:
  • 1+ years of experience delivering instructor-led training, workforce development, technical enablement, or AI-related business process support
  • Experience delivering instructor-led training, workforce development programs, or technical enablement initiatives
  • Experience using AI tools, workflow automation platforms, or analytics technologies in business or operational settings
  • Experience assessing learner progress, documenting outcomes, and supporting adoption of new technology-driven processes

Preferred Experience:
  • Experience supporting AI adoption within office-based, reporting, finance, logistics, human resources, sales, or similar business functions
  • Experience building reusable training assets, standard operating procedures, assessments, or role-based curriculum materials
  • Experience working within regulated, policy-driven, or compliance-sensitive environments where data governance is important

Required Skills, Education and/ or Certifications:
  • Bachelor's Degree in Business or IT Related discipline or equivalent experience
  • Working knowledge of AI concepts, prompt engineering, workflow automation, and responsible AI practices
  • Strong facilitation, written communication, documentation, and analytical skills with the ability to teach technical concepts clearly

Preferred Skills, Education and/ or Certifications:
  • Certification or formal training in AI, data analytics, instructional design, workforce development, or change management
  • Experience with Microsoft Copilot, Power Automate, Power BI, or other approved enterprise AI and productivity platforms
  • Experience designing measurable training programs that include pre-assessments, post-assessments, and operational performance validation

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