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Entry Level Ai Data Rater Jobs in Texas (NOW HIRING)

ZT Automotive

AI Growth Specialist

Houston, TX

This role will focus on analyzing AI and operational data, training and improving AI models ... Monitor appointment trends, conversion rates, show rates, and missed opportunities to develop ...

Judge Group, Inc.

Data Scientist - IV

Dallas, TX · Hybrid

... ai tools, and so on. Education: MS/ PhD in Computer Science, Statistics, Math, Economics ... Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy ...

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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 the most commonly searched types of Ai Data Rater jobs in Texas? The most popular types of Ai Data Rater jobs in Texas are:
What are popular job titles related to Entry Level Ai Data Rater jobs in Texas? For Entry Level Ai Data Rater jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Data Rater jobs in Texas look for? The top searched job categories for Entry Level Ai Data Rater jobs in Texas are:
What cities in Texas are hiring for Entry Level Ai Data Rater jobs? Cities in Texas with the most Entry Level Ai Data Rater job openings:
Entry Level Ai Data Rater jobs near you
Infographic showing various Entry Level Ai Data Rater job openings in Texas as of June 2026, with employment types broken down into 2% Internship, 63% Full Time, 29% Part Time, and 6% Contract. Highlights an 73% In-person, 5% Hybrid, and 22% Remote job distribution.

AI Growth Specialist

ZT Automotive

Houston, TX

Other

Posted 27 days ago

Job description

Job Type
Full-time
Description
We are looking for an analytical, detail-oriented, and driven Marketing & AI professional to join the ZT Automotive team. This role will focus on analyzing AI and operational data, training and improving AI models, supporting inbound and outbound customer communication, and developing marketing campaigns designed to increase appointments, customer retention, and overall revenue growth.
The ideal candidate is someone who enjoys working with data, identifying trends and opportunities, improving processes, and helping bridge the gap between AI technology, customer experience, and operational performance.
Requirements

  • Analyze AI performance data, inbound and outbound call activity, appointment trends, and customer engagement metrics to identify growth opportunities and operational improvements
  • Help train, monitor, and improve AI models to ensure accurate customer communication, scheduling support, and escalation handling
  • Review AI conversations and call flows to identify areas for optimization, efficiency improvements, and customer experience enhancements
  • Answer inbound customer calls as needed to support operational coverage and maintain strong customer service standards
  • Make outbound calls for customer follow-up, retention campaigns, recalls, maintenance reminders, missed appointments, and marketing initiatives
  • Develop and execute outbound marketing and customer retention campaigns through calls, text messaging, email, and AI-driven communication tools
  • Monitor appointment trends, conversion rates, show rates, and missed opportunities to develop strategies that increase appointment volume and revenue
  • Identify new customer outreach opportunities using historical data, service history, recalls, declined services, maintenance schedules, and inactive customer trends
  • Help drive ROI through automated scheduling, intelligent reminders, and AI-assisted processes that improve efficiency and free staff for higher-value tasks
  • Measure, analyze, and report on marketing and AI effectiveness while using insights to optimize performance
  • Present insights, recommendations, and progress updates to leadership
  • Work closely with operations and leadership teams to proactively identify and reduce issues before they arise
  • Other duties as assigned
Ideal Candidate
  • Analytical and data-driven mindset
  • Strong communication and customer service skills
  • Comfortable working with AI tools, reporting, and operational data
  • Ability to multitask between analysis, campaigns, customer communication, and operational support
  • Strong attention to detail and organizational skills
  • Self-motivated with a proactive approach to problem-solving and process improvement
  • Experience in marketing, call center operations, BDC/SDC, customer retention, or AI-related roles preferred

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