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Entry Level Ai Data Rater Jobs in Austin, TX (NOW HIRING)

Our program now includes Data Track and AI Track , preparing candidates for opportunities in data engineering, business intelligence, cloud data platforms, SQL development, AI-enabled data solutions ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Rate and compare multiple AI responses based on correctness, reasoning quality, fluency, and ... Previous experience in AI data training, annotation, editorial QA, localization QA, or professional ...

Do you enjoy analyzing processes, collaborating with teams, and using data and AI-enabled tools to ... As an Entry Level Business Analyst, you'll work with cross functional teams to translate business ...

Data analyst I

Austin, TX · On-site

$25 - $28/hr

... Rate Based TECHNICAL SKILLS Must Have * We are seeking a detail-oriented and analytical ... Power BI / Data Visualization. Entry level C++ and/or CSS. GIS. AutoCAD. Revit. LOCATION ...

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Entry Level Ai Data Rater information

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$18

$26

How much do entry level ai data rater jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for entry level ai data rater in Austin, TX is $18.89, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $21.20 per hour, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as an entry level AI data rater?

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 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 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.

Can I get an entry level AI data rater job with no experience?

Entry level AI data rater positions typically do not require prior experience, as they focus on evaluating and labeling data to improve AI models. Basic computer skills, attention to detail, and the ability to follow guidelines are usually sufficient to qualify for these roles. Some employers may provide training or onboarding to new hires.

What are the most commonly searched types of Ai Data Rater jobs in Austin, TX?

The most popular types of Ai Data Rater jobs in Austin, TX are:

What are popular job titles related to Entry Level Ai Data Rater jobs in Austin, TX?

For Entry Level Ai Data Rater jobs in Austin, TX, the most frequently searched job titles are:

Infographic showing various Entry Level Ai Data Rater job openings in Austin, TX as of August 2026, with employment types broken down into 1% Internship, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 83% In-person, 1% Hybrid, and 16% Remote job distribution, with an average salary of $39,281 per year, or $18.9 per hour.

Entry Level AI/Data Analyst

PCS Global Tech

Austin, TX • On-site

Other

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


Job description

Your fast track to Tech Consulting.

A trainee-to-hire experience for STEM graduates.

Step off the campus. Step into a career.


Our program now includes Data Track and AI Track, preparing candidates for opportunities in data engineering, business intelligence, cloud data platforms, SQL development, AI-enabled data solutions, and enterprise technology consulting.

Candidates will gain exposure to in-demand tools and technologies such as SQL, T-SQL, Python, Power BI, Tableau, Azure, AWS, Snowflake, Databricks, Data Warehousing, Data Modeling, Applied AI/ML, Azure OpenAI, RAG, and LLM concepts.


Potential Career Paths:

  • Data Analyst
  • Business Analyst
  • BI Developer
  • SQL Developer
  • Data Engineer
  • Data Integration Specialist
  • AI/Data Consultant

What We’re Looking For:

  • Bachelor’s or Master’s degree in Computer Science, Business Analytics, Mathematics, Computer Engineering, Information Technology, AI, Data Science, or a related STEM field
  • SQL fundamentals and basic programming knowledge
  • Python knowledge preferred
  • Interest in Data, Cloud, BI, AI, or consulting career paths
  • Strong logical reasoning and communication skills
  • Valid U.S. work authorization, including OPT, Day1 CPT, Green Card, or U.S. Citizenship
  • Open to relocation within the United States after project placement