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Remote Ai Operations Jobs in Texas (NOW HIRING)

Harris

Design, build, and deploy AI-driven solutions for business operations - including workflow ... Remote work and more! About Service-Link: Service-Link specializes in optimizing fieldwork ...

Initio Capital

Operations Research Analyst

Dallas, TX · Remote

$97K - $115K/yr

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

New

Initio Capital

Growth Operations Analyst

Austin, TX · Remote

$97K - $115K/yr

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

Initio Capital

Go-to-Market Research Analyst

Dallas, TX · Remote

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

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All JobsAi Operations JobsRemote Ai Operations JobsRemote Ai Operations Jobs in Texas

Remote Ai Operations information

What is the difference between Remote Ai Operations vs Data Analyst?

AspectRemote Ai OperationsData Analyst
Required CredentialsBackground in AI, machine learning, or data science; often requires certifications in AI tools or programming languagesDegree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, collaborative teams focused on AI model deployment and maintenanceRemote or on-site, analyzing data sets to generate insights
Industry UsageTech companies, AI startups, research institutionsFinance, marketing, healthcare, and other sectors relying on data insights

Remote Ai Operations and Data Analysts both work with data, but Remote Ai Operations focuses on managing AI systems and models, while Data Analysts interpret data to inform business decisions. The roles share skills in data handling and analysis but differ in their focus on AI deployment versus data interpretation.

What are the most commonly searched types of Ai Operations jobs in Texas? The most popular types of Ai Operations jobs in Texas are:
What are popular job titles related to Remote Ai Operations jobs in Texas? For Remote Ai Operations jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Ai Operations jobs in Texas look for? The top searched job categories for Remote Ai Operations jobs in Texas are:
What cities in Texas are hiring for Remote Ai Operations jobs? Cities in Texas with the most Remote Ai Operations job openings:
Remote Ai Operations jobs near you
Infographic showing various Remote Ai Operations job openings in Texas as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.

AI Operations Engineer

Bright Vision Technologies

Richardson, TX • Remote

$150K - $165K/yr

Full-time

Posted 5 days ago

Job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: AI Operations Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $150,000–$165,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking an AI Operations Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency.
Key Responsibilities
  • Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.
  • Build ingestion systems for diverse modalities including text, image, audio, video, and structured signals.
  • Implement data cleaning, deduplication, filtering, and quality assurance at petabyte scale.
  • Develop dataset versioning, lineage, and provenance tracking systems suitable for reproducible training.
  • Build high-throughput data loading systems that maximize GPU utilization during training.
  • Implement labeling workflows, active learning pipelines, and human-in-the-loop data improvement systems.
  • Design storage architectures balancing cost, throughput, and latency across data tiers.
  • Build evaluation dataset construction pipelines with strict integrity and contamination controls.
  • Implement data privacy, redaction, and consent enforcement throughout the pipeline.
  • Collaborate with ML researchers and engineers to align data systems with model development needs.
  • Drive observability of data quality, drift, and pipeline health across the AI data estate.
  • Optimize cost and performance through compression, format selection, and caching strategies.
  • Document data systems, schemas, and operational procedures for broad internal use.
  • Stay current with AI data infrastructure research and emerging open-source tools.

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of data engineering experience, with significant work supporting ML or AI workloads.
  • Strong proficiency in Python and at least one JVM or systems language.
  • Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
  • Hands-on experience operating petabyte-scale storage and pipeline systems.
  • Strong understanding of distributed systems, data modeling, and storage formats.
  • Experience with dataset versioning, lineage, and reproducibility for ML workflows.
  • Familiarity with high-throughput data loading for accelerator-based training.
  • Strong software engineering practices including testing, CI/CD, and code review.
  • Excellent communication and cross-functional collaboration skills.

Preferred Qualifications
  • Experience with multimodal datasets at large scale.
  • Familiarity with data quality tooling and dataset evaluation methodology.
  • Exposure to privacy-preserving data systems and regulated data handling.
  • Open-source contributions to data infrastructure projects.
  • Experience supporting frontier model training pipelines.

How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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