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Remote Operations Engineer Jobs in Texas (NOW HIRING)

Kibo Commerce

DevOps Engineer

Dallas, TX · Remote

$52.25 - $71.50/hr

... s Engineer at KIBO, you will design, implement, and maintain infrastructure and tools to support ... By joining KIBO, you will be part of a team of Kibonauts all over the world in a remote-friendly ...

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Remote Operations Engineer information

See Texas salary details

$33.5K

$79.2K

$125.8K

How much do remote operations engineer jobs pay per year?

As of Jul 25, 2026, the average yearly pay for remote operations engineer in Texas is $79,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,800.00 and $87,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Remote Operations Engineers, and how can they be addressed?

Remote Operations Engineers often encounter challenges such as managing critical systems across different time zones, quickly diagnosing issues without on-site access, and maintaining clear communication with global teams. To succeed, it's important to leverage robust monitoring and automation tools, proactively schedule regular check-ins, and document processes thoroughly. Developing strong relationships with team members and participating in virtual collaboration sessions can also help overcome remote work barriers. In this dynamic role, adaptability and continuous learning are key to staying ahead of evolving technology and operational demands.

What are the key skills and qualifications needed to thrive in the Remote Operations Engineer position, and why are they important?

To thrive as a Remote Operations Engineer, you need a solid background in systems administration, networking, and cloud infrastructure, often demonstrated by a degree in computer science or a related field. Familiarity with tools like AWS, Azure, remote monitoring systems, and relevant certifications such as AWS Certified SysOps Administrator or CompTIA Network+ is highly valuable. Strong problem-solving skills, proactive communication, and excellent time management help engineers excel in remote and collaborative environments. These skills ensure efficient, reliable operations management and smooth coordination with distributed teams and stakeholders.

What is a Remote Operations Engineer job?

A Remote Operations Engineer monitors, manages, and optimizes systems and processes from a remote location, ensuring efficiency and reliability. They use advanced technology and software tools to oversee operations in industries like energy, manufacturing, or IT. Their responsibilities include troubleshooting, data analysis, and collaborating with on-site teams to maintain smooth operations. Strong technical skills, problem-solving abilities, and adaptability are essential for this role.

What are the most commonly searched types of Operations Engineer jobs in Texas? The most popular types of Operations Engineer jobs in Texas are:
What are popular job titles related to Remote Operations Engineer jobs in Texas? For Remote Operations Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Operations Engineer jobs in Texas look for? The top searched job categories for Remote Operations Engineer jobs in Texas are:
What cities in Texas are hiring for Remote Operations Engineer jobs? Cities in Texas with the most Remote Operations Engineer job openings:
Remote Operations Engineer jobs near you
Infographic showing various Remote Operations Engineer job openings in Texas as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $79,217 per year, or $38.1 per hour.

AI Operations Engineer

Bright Vision Technologies

Richardson, TX • Remote

$100K - $150K/yr

Full-time

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

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: $100,000–$150,000 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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