Houston AI Institute

Name: Houston AI Institute
Address: 10777 Westheimer Road, Suite 1100, Texas, US, Houston, TX, 77042, US
Telephone: +16463779061
Price range: Not applicable

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Houston AI Institute
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SHAPING TOMORROW'S INTELLIGENCE.
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A Next-Gen Non-profit AI Hub empowering visionaries, leaders, and nations to master AI through internationally recognized certifications, ethical innovation, and practical expertise.

09/08/2026

🚨 WE’RE HIRING: SALES EXPERT – AI CERTIFICATION & CORPORATE TRAINING

Are you a high-performing B2B Sales Professional who knows how to find decision-makers, build relationships and CLOSE high-value deals?

Do you want to build your career at the forefront of Artificial Intelligence and the future of work in Africa?

Houston AI Institute (HAI) is looking for a results-driven Sales Expert based in Nigeria to join our growing team.

💼 THE ROLE

As our Sales Expert, you will be responsible for:

✅ Selling premium AI Certification Programs
✅ Acquiring corporate clients for custom AI training
✅ Closing in-house AI training deals
✅ Prospecting CEOs, HR Directors, L&D Managers, CTOs and other decision-makers
✅ Building relationships with businesses, startups, banks, universities and government organizations
✅ Developing a strong sales pipeline through LinkedIn, WhatsApp, email, referrals and partnerships
✅ Negotiating and closing high-value B2B deals

WHAT YOU'LL BE SELLING

Our AI certification programs can range from ₦1M–₦10M+ per client, while custom corporate AI training opportunities can range from ₦5M–₦50M+.

And yes — your earning potential goes beyond your salary.

💵 COMPENSATION

₦150,000 MONTHLY SALARY

PLUS:

🔥 UNCAPPED commission potential
🔥 Fully Remote — Work from anywhere in Nigeria
🔥 Free access to our AI Certification Programs
🔥 Opportunity to grow with an AI-focused organization serving the African market

🎯 WHO WE'RE LOOKING FOR

You should have:

* 2+ years of B2B sales experience
* Experience selling high-ticket programs, services or solutions
* A proven record of closing ₦1M–₦5M+ deals
* Experience selling to Nigerian/African businesses, startups or government organizations
* Excellent communication, pitching and negotiation skills
* A strong hunter mentality
* Comfort with cold outreach, LinkedIn, WhatsApp and direct prospecting
* Familiarity with CRM tools or sales tracking systems
* Strong interest in AI, technology, education or professional development

Bonus: Existing relationships with HR, L&D, technology, compliance or corporate decision-makers.

🌍 WHY JOIN HOUSTON AI INSTITUTE?

AI is transforming how businesses operate.

Organizations across Africa need people who can help them understand, implement and govern AI effectively.

You won't just be selling training. You'll be helping organizations prepare for the AI-powered future.

If you are ambitious, target-driven, commercially minded and confident enough to sell premium solutions to senior decision-makers...

WE WANT TO HEAR FROM YOU.

📍 Location: Remote — Nigeria
💼 Employment: Full-Time Contract
📅 Initial Contract: 3 months, with potential for extension/conversion

👇 APPLY NOW

Send your CV and a brief description of your B2B sales experience.

Only candidates with demonstrated B2B/high-ticket sales experience should apply.

06/22/2026

I am sure you hear this phrase constantly. This is what it actually means.
Human-in-the-loop means a person is part of the decision and not just watching it happen.

This is not rubber-stamping what the AI already decided. It means someone is actually checking it, with the power to stop it or change it before it affects others.

Here is what that looks like in practice.
A hospital uses AI to flag patients at risk. Human-in-the-loop means a doctor reviews that flag before any treatment changes. The AI tool points, but the doctor decides.

A company uses AI to screen job applications. Human-in-the-loop means the HR looks at who got filtered out, not just who got through. The HR is asking, did we miss someone good because of how this tool was built?

A bank uses AI to score loan applications. Human-in-the-loop means someone can look at a denial and ask, " Does this make sense, or " Did the system get this wrong?

With a human in the loop, there is still a place for judgment, context, and the kind of thinking a model cannot do.

That is the whole idea of making sure a person is still the one who can catch it when it gets something wrong.

This is one of the means we ensure AI is responsibly adopted.

🔔 Follow Houston AI Institute for Insights on AI

06/03/2026

Last month we explored how to build AI-powered products and the conversations were very engaging.

This month we're going deeper into something every single professional needs and that is communication

The Global AI Clinic is back, and this month's theme is How AI Can Sharpen the Way You Write, Speak, and Lead Conversations.

If you have ever struggled to find the right words, felt unprepared going into a tough conversation, or wanted your writing to hit harder, then this session is for you.

Joining us on the panel:
Dr. Juliet Igboanusi, MBA, CPENG
Jane Arnold
Otissa Johnson

📅 Wednesday, June 18th
2:00 PM CDT
Free & Live on Zoom

See you there! Register below :
https://us06web.zoom.us/meeting/register/10GYRVoJRUeH-seXpkydwg

05/18/2026

Imagine building a robot to clean your room, but you forget to tell it what not to throw away.

It might dump your favorite sneakers in the trash just because they were on the floor. The machine did exactly what it was built to do: clean, but it lacked the human judgment to know what actually mattered to you.

When we build AI systems today, the stakes are much higher than a messy bedroom. AI tools are being used to make decisions that can affect lives.

If we don't build these tools carefully, they can cause serious harm without anyone even realizing it.

That is why we need Responsible AI. We ensure our technology reflects human values, follows strict rules, and never runs without human supervision.

To understand how to keep AI safe, think of it like a home renovation project. You wouldn't just tear down a wall without a blueprint, a skilled team, and a safety check.

True responsibility comes down to three basic pieces:

1. People: You need a diverse team of humans building the tool. If only one type of person builds an AI, the machine will only understand that person's point of view. A diverse group catches mistakes before they happen.

2. Process: You need clear rules. You must decide exactly what the AI is allowed to do and, more importantly, what it is not allowed to do.

3. Tools: You need constant testing. You have to check the machine every single day to make sure it hasn't picked up bad habits or started making unfair decisions.

🔔 Follow Houston AI Institute for Insights on AI

05/13/2026

Meet Ajitesh Das, MBA, MS.
Having an idea for a new app or an AI tool is the easy part
The real challenge is not getting distracted by flashy features and losing sight of why you started building in the first place.

You need a plan to make sure your final product actually solves the problem you intended to fix.

Ajitesh is a Product Leader and AI practitioner. He has spent over nine years building digital and AI-enabled products across education and SaaS platforms.

He is currently at the University of Houston’s Bauer College of Business.
Previously, he was a Senior Product Manager at Emeritus. He led the development of large-scale online programs with global universities to scale asynchronous learning.

He focuses on the practical applications of AI in education and decision-support systems.

He is one of our featured experts for the Global AI Clinic on May 21st.
He will walk you through how to move from a thought to a working reality.

📅 May 21st
🕛 2:00 PM CDT
📍 Register here: https://lnkd.in/gecbgBCx

05/11/2026

If a school district uses an AI model, and the tool exposes the private records of a million students.

This can happen because no human was accountable for the machine's actions.

Most people look for a headline when things go wrong. But the real damage happens where you cannot see it.

It is the bank loan that was never approved.
The job application was never read.
It is the wrong person matched to a face in a database.

The IBM Cost of a Data Breach Study put the average price of these mistakes at $4.45M. The WHO and the UN found a clear pattern. The fewer humans stay in the loop, the harder it is to answer one simple question.

Who made this call, and who is responsible?

This means that for companies integrating an AI model into their workflow, there should be a system in which a person is responsible for and oversees the deployment of these tools.

Trust is the only thing you cannot buy back once it is gone.

AI does not need more speed. It needs a leader willing to ask: "What happens when this goes wrong?"

🔔 Follow Houston AI Institute for Insights on AI

05/07/2026

AI is great at moving faster on tasks, but its real power lies in helping you think more strategically about growth.

Join us on June 11th for HAI Build: Pro. We are moving away from technical talks and focusing on business results.

In this virtual build session, led by 💥Teri R. Moten, MBA, CAIO💥, you will use your preferred AI tool to map out:

Untapped market and partnership opportunities.
Competitor positioning gaps.
A focused 90-day revenue roadmap.

Dr. Juliet Igboanusi, MBA, CPENG will kick us off with essential insights on AI ethics and governance, ensuring that as you scale, you build on a foundation of trust and responsibility.

Don't just watch the future happen. Build your place in it.
📅 June 11th
🔗 Secure your spot here: https://lnkd.in/epdzdFMp

05/04/2026

David spent ten years building a career around a specific job title.
He had the degree, the office, and the seniority. But last week, he realized that half of the tasks he was hired to do are now handled by a machine in seconds.

David is not losing his job, but he is losing his value. Why? because he tied his identity to a name on a business card instead of what he can actually do.

By 2030, nearly half of the skills we use at work will change and this was reported by the World Economic Forum.

If your value is based on what your role is called, you are at risk. If your value is based on the problems you can solve, you are safe.

In this new world, your career is a living thing, not a piece of paper.
· Focus on Skills, Not Titles: The machine handles the tasks; you handle the judgment
· Build a Portfolio: Add one new tool to your belt every year.
· Be More Human: Kindness, empathy, and leading others are the only things a machine cannot copy.

Are you holding onto an old name, or are you building a new future?

🔔 Follow Houston AI Institute for Insights on AI

04/29/2026

Who Owns the "No"?
"Elena" used a new tool to decide who could get a loan. It was fast. It checked thousands of people in one day. Elena was happy with the speed until she saw a problem.

The machine was saying "no" to good people. When they asked why, Elena didn't have an answer.

She thought she was being fast. She was actually being unfair.
In business, you cannot blame a computer for a mistake. You are the one in charge.

Being a leader means you must choose:
Doing it right over doing it fast: It does not matter how quick you are if you are wrong.

Clear talk over big words: If you cannot explain a choice to a customer, you have built a wall, not a business.

Rules over shortcuts: You must set the rules before you turn the machine on.
Money is built on trust.

If you let a machine make your choices without a plan, you are not growing. You are just losing the trust of the people you serve.

🔔 Follow Houston AI Institute for Insights on AI

04/28/2026

Last week, the president of the Houston AI Institute attended the Houston AI Law panel at ION Houston, and the conversation was insightful.

The panelists comprised of lawyers who shared their experiences with AI adoption. We heard from practicing lawyers on enterprise adoption and from a law school professor on education.

What stood out to was how practical the conversation was. They shared specific tools they’re using, how they decided to adopt AI at their companies, and how AI has changed the way they work.

They mentioned the challenge of court infrastructure lagging and its impact on efficiency gains. But overall, there was a clear consensus: even though AI is reshaping roles and disrupting certain functions, the net impact is positive.

It was such an insightful time learning how law is evolving with AI.

Address

10777 Westheimer Road, Suite 1100, Texas, US
Houston, TX
77042

Telephone

+16463779061

Website

https://www.houstonaiinstitute.com/, https://www.linkedin.com/company/houstonaiinstitute

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