1

Ai Data Rater Jobs in Texas (NOW HIRING)

Data Engineer with AI

Dallas, TX · On-site

$113K - $136K/yr

Hi, We do have an urgent requirement for the below position with our direct client, Please submit Resume, Rate and Contact details. Job Title: Data Engineer with AI Location: Dallas, TX Duration ...

Showing results 41-60

Ai Data Rater information

What is an AI data rater?

An AI Data Rater evaluates and rates AI-generated content, such as search engine results, chat responses, or recommendations, to improve machine learning models. They follow specific guidelines to assess relevance, accuracy, and quality. This role helps refine AI systems by providing valuable feedback to enhance their performance. It typically requires strong analytical skills, attention to detail, and familiarity with the subject matter being rated.

What skills and qualifications are needed to thrive as an AI data rater?

To succeed as an AI Data Rater, you need strong analytical skills, attention to detail, and proficiency in evaluating data quality, typically requiring at least a high school diploma or equivalent. Familiarity with computer systems, web browsers, and proprietary rating platforms is often necessary, and training in data privacy or AI guidelines is sometimes provided. Excellent time management, adaptability, and effective written communication help candidates stand out in this largely remote and independent role. These skills ensure accurate data evaluations, support AI improvement, and enable consistent, high-quality performance.

What does an AI data rater do?

As an AI Data Rater, your main responsibilities include reviewing and evaluating various types of data—such as search queries, images, or social media content—according to detailed guidelines provided by your employer. You will typically work independently, using specialized tools or web-based platforms to rate data quality, relevance, or appropriateness. Attention to detail and consistency are important, as your feedback directly impacts the effectiveness of AI systems. Depending on the employer, you may also participate in training sessions or occasional team meetings to stay updated on the latest guidelines or project requirements.

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 cities in Texas are hiring for Ai Data Rater jobs? Cities in Texas with the most Ai Data Rater job openings:
Infographic showing various Ai Data Rater job openings in Texas as of August 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 71% In-person, and 29% Remote job distribution.

Data Engineer with AI

SSTech LLC

Dallas, TX • On-site

$113K - $136K/yr

Other

Re-posted 13 days ago


Job description

Hi,
 
We do have an urgent requirement for the below position with our direct client, Please submit Resume, Rate and Contact details.
Job Title: Data Engineer with AI
Location: Dallas, TX
Duration: Long Term

Job Summary
We are seeking a Data Engineer with AI having 10+ years of experience in designing, building, and maintaining scalable data pipelines while supporting AI/ML and Generative AI solutions. The ideal candidate should have strong expertise in data engineering, cloud platforms, Python, SQL, and modern AI technologies.
Required Skills:
  • Strong proficiency in Python and SQL.
  • Experience with Apache Spark or PySpark.
  • Hands-on experience with ETL/ELT pipelines and workflow orchestration (Airflow, ADF, etc.).
  • Experience with cloud platforms (Azure, AWS, or Google Cloud Platform).
  • Strong knowledge of Data Lakes, Data Warehouses, and Snowflake, Databricks, or BigQuery.
  • Experience integrating AI/ML or Generative AI solutions into data platforms.
  • Familiarity with LLMs, RAG, Vector Databases, or Azure OpenAI/AWS Bedrock is preferred.
  • Experience with Git, CI/CD, and DevOps practices.
  • Excellent analytical and problem-solving skills.
Responsibilities
  • Design and develop scalable data pipelines for structured and unstructured data.
  • Build and optimize ETL/ELT workflows for enterprise data platforms.
  • Support AI/ML and Generative AI applications by preparing and managing high-quality datasets.
  • Collaborate with data scientists and AI engineers to deploy AI solutions.
  • Optimize data processing performance using Spark/PySpark.
  • Ensure data quality, governance, security, and reliability.
  • Monitor and troubleshoot production data pipelines.