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Ethical Ai Jobs in Spring, TX (NOW HIRING)

NAVA Software Solutions

Data/AI Lead

Houston, TX · On-site

Commitment to ethical AI practices, ensuring AI systems are transparent, explainable, and free from biases to promote fairness, accountability, and transparency in AI applications * Responsible for ...

Hexagon AB

Principal AI/ML Software Engineer

Houston, TX · On-site

$128K - $172K/yr

... of ethical AI and building trustworthy, explainable systems for regulated environments What You'll Build • LLM evaluation frameworks ensuring 95%+ accuracy for compliance-critical features • ...

Varsity Tutors

Claude Tutor

Houston, TX · Remote

$18 - $40/hr

Ability to explain system prompts, context window utilization, and responsible AI interaction while preparing students for effective and ethical use of Claude in academic and professional settings.

Varsity Tutors

ChatGPT Tutor

Houston, TX · Remote

$18 - $40/hr

Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI-assisted workflows. * Conceptual Teaching ...

Veracity Software Pvt. Ltd.

AI Lead

Houston, TX · On-site

The role involves leading the design and implementation of AI-driven features while ensuring compliance with ethical standards and mentoring team members. Responsibilities : • Lead the day-to-day ...

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

Understanding of ethical AI and building trustworthy, explainable systems for regulated environments #LI-PB1 LI-Remote ote About Octave Octave provides mission-critical software that empowers ...

Salesforce, Inc.

Partner Delivery Advisor

Houston, TX · On-site +1

Champion Responsible AI principles within partner implementations - including risk mitigation frameworks, guardrail design, bias and safety considerations, and ethical AI usage. * Assess customer ...

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Showing results 1-20

All JobsEthical Ai JobsEthical Ai Jobs in Spring, TX

Ethical Ai information

What is the difference between Ethical Ai vs Data Scientist?

AspectEthical AiData Scientist
Required CredentialsKnowledge of AI ethics, data privacy, and bias mitigationDegree in Data Science, Computer Science, or related field; programming skills
Work EnvironmentResearch-focused, policy development, cross-disciplinary teamsData analysis, model development, coding, and statistical analysis
Industry UsageTech companies, research institutions, organizations emphasizing responsible AITech, finance, healthcare, and various industries requiring data insights

Ethical Ai professionals focus on ensuring AI systems are fair, transparent, and aligned with ethical standards, often working on policy and bias mitigation. Data Scientists primarily analyze data, develop models, and extract insights. While both roles require technical skills, Ethical Ai emphasizes ethics and policy, whereas Data Scientists focus on data analysis and modeling.

How to become an ethical AI?

To become an ethical AI professional, one should develop expertise in AI ethics, fairness, and bias mitigation, often through relevant degrees or certifications. Skills in data analysis, programming, and understanding of societal impacts are essential, along with staying informed about evolving ethical standards and regulations in AI development.

What are the careers in ethical ai?

Careers in ethical AI include roles such as AI ethicist, AI policy analyst, machine learning fairness researcher, and AI compliance officer. These positions focus on ensuring AI systems are developed and deployed responsibly, often requiring knowledge of AI algorithms, data privacy, and ethical frameworks.

What job categories do people searching Ethical Ai jobs in Spring, TX look for?

The top searched job categories for Ethical Ai jobs in Spring, TX are:

What cities near Spring, TX are hiring for Ethical Ai jobs?

Cities near Spring, TX with the most Ethical Ai job openings:

Ethical Ai jobs near you
Infographic showing various Ethical Ai job openings in Spring, TX as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Network Engineer, AI Infrastructure Repair

Meta

Houston, TX

$193K/yr

Full-time

Re-posted 22 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network engineering. In this role, you will lead the strategy and execution for AI network repair and remediation programs, ensuring that the high-performance fabrics underpinning Meta's AI training and inference clusters remain operational, resilient, and optimized. You will drive cross-functional initiatives spanning network deployment, fault diagnosis, and repair automation across Meta's AI data center environments, shaping the systems and processes that keep AI infrastructure at scale.
Network Engineer, AI Infrastructure Repair Responsibilities:
  • Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloads
  • Lead root cause analysis and resolution of complex network faults affecting high-performance AI training and inference fabrics, including RDMA, high-speed Ethernet, and optical interconnect layers
  • Develop and champion novel approaches to network fault detection, automated remediation, and repair workflow optimization for AI cluster infrastructure
  • Partner with hardware, software, and data center operations teams to align network repair programs with AI infrastructure deployment roadmaps and capacity plans
  • Establish and refine operational frameworks, runbooks, and tooling for network repair at scale, reducing mean time to repair across AI fabric environments
  • Identify systemic reliability risks in AI network infrastructure and drive cross-functional initiatives to address them before they impact production workloads
  • Influence the design of next-generation AI network architectures by contributing repair and reliability insights to hardware and topology decisions
  • Leverage AI-driven analytics and automation tools to redesign repair workflows, accelerating fault identification and resolution across distributed network environments
  • Build and maintain strategic relationships with internal engineering, operations, and vendor partners to ensure repair programs scale with AI infrastructure growth
  • Communicate program status, risk, and strategic recommendations to engineering leaders and cross-functional stakeholders through structured reporting and executive briefings

Minimum Qualifications:
  • Experience influencing technical direction and organizational strategy through data-driven analysis, written proposals, and stakeholder alignment across engineering and operations teams
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience leading cross-functional programs that span network operations, hardware deployment, and infrastructure reliability at data center scale
  • Experience developing and driving strategy for network fault management, repair automation, or remediation programs in production environments
  • Experience designing, deploying, or operating high-speed network fabrics used in AI or machine learning infrastructure, including technologies such as RDMA over Converged Ethernet, InfiniBand, or high-density optical interconnects
  • 12+ years of experience in network engineering, with a focus on large-scale data center or high-performance computing network environments

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with network telemetry platforms, observability tooling, or AI-assisted anomaly detection applied to large-scale fabric environments
  • Experience building or scaling repair operations programs, including workforce planning, tooling development, and process standardization across multiple data center sites
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Track record of contributing to network hardware or topology design reviews, translating operational repair insights into upstream engineering improvements
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Familiarity with AI accelerator interconnect architectures and the network reliability requirements of distributed training workloads at hyperscale

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$193,000/year to $271,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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