I applied for a job on Upwork by 1:30 am, it got viewed by 1:31 am, I got the job by 1:40 am.
Something to Motivate you.
Chigozie Sussan Wrote:
This happened yesterday.
Told them, I’d like to start my Hrs next week.
They said, if I want to do Hrs from Today to Sunday, If I can, I should.
This week, I had 3 interviews on Upwork.
Zero connect application.
Got 2.
One is pending, no response yet.
Am I figuring out upwork?
Yes!
What did I do differently from the last time?
I changed my hourly rate.
I changed my portfolio.
I updated my portfolio.
Used zero connect.
It’s been really 2 active months on upwork and everyday is a learning curve .
I’m still figuring it out , still learning It.
Upwork get strategy
But
God???
God too Good!
Eim Too Good.
Waiting for him to make me hit my monthly upwork target, I’m willing to do my part.
.......
........
This is your reminder to get back on your grind. Get back to your remote jobs hustle..
#TechBackYourLife #LearnwithDEXA
Something to Motivate you.
Chigozie Sussan Wrote:
This happened yesterday.
Told them, I’d like to start my Hrs next week.
They said, if I want to do Hrs from Today to Sunday, If I can, I should.
This week, I had 3 interviews on Upwork.
Zero connect application.
Got 2.
One is pending, no response yet.
Am I figuring out upwork?
Yes!
What did I do differently from the last time?
I changed my hourly rate.
I changed my portfolio.
I updated my portfolio.
Used zero connect.
It’s been really 2 active months on upwork and everyday is a learning curve .
I’m still figuring it out , still learning It.
Upwork get strategy
But
God???
God too Good!
Eim Too Good.
Waiting for him to make me hit my monthly upwork target, I’m willing to do my part.
.......
........
This is your reminder to get back on your grind. Get back to your remote jobs hustle..
#TechBackYourLife #LearnwithDEXA
❤33👍9
ChatGPT didn't teach itself to be helpful. (And the people who do are making bank)
Before any AI product launches to the public, thousands of ordinary people spend months reading its responses, grading them, correcting them, rewriting them, and flagging the dangerous ones.
Those people are called AI trainers, data annotators, or RLHF specialists — depending on which platform you're on.
But their job is simple: teach the machine what good looks like.
RLHF stands for Reinforcement Learning from Human Feedback.
It sounds technical. It isn't.
Imagine you're teaching a child.
You show them two drawings and ask which one is more accurate.
They pick one. You tell them whether they were right. Over time, they get better at judging.
That's exactly what RLHF is, except the "child" is a language model worth billions of dollars, and your feedback is what shapes how it thinks.
Every time ChatGPT gives you a clear, helpful answer, somewhere in its history, a human rated a response like that one as "better" than the alternatives.
That human got paid for that rating.
The AI learned from it.
Now here's the part that matters to you.
The companies building these AI systems — OpenAI, Google, Anthropic, Meta, Amazon — don't hire those trainers directly.
They outsource the work to platforms. Platforms like Outlier, Mindrift, OneForma, DataAnnotation, Appen, and about a dozen others.
Those platforms recruit workers globally. They pay in dollars.
They work with Nigerians.
And they need more people constantly, because AI development isn't slowing down.
Every new product, every new model update, every new language the AI learns requires a fresh round of human feedback.
This is not a trend. It is the infrastructure of the AI industry. And right now there is more demand for human trainers than there are qualified people to fill it.
You are sitting on the right side of that gap.
Keep your eyes here. We'll keep educating you about this industry of the future.
DEXA | #TechBackYourLife | Learnwithdexa.com
Before any AI product launches to the public, thousands of ordinary people spend months reading its responses, grading them, correcting them, rewriting them, and flagging the dangerous ones.
Those people are called AI trainers, data annotators, or RLHF specialists — depending on which platform you're on.
But their job is simple: teach the machine what good looks like.
RLHF stands for Reinforcement Learning from Human Feedback.
It sounds technical. It isn't.
Imagine you're teaching a child.
You show them two drawings and ask which one is more accurate.
They pick one. You tell them whether they were right. Over time, they get better at judging.
That's exactly what RLHF is, except the "child" is a language model worth billions of dollars, and your feedback is what shapes how it thinks.
Every time ChatGPT gives you a clear, helpful answer, somewhere in its history, a human rated a response like that one as "better" than the alternatives.
That human got paid for that rating.
The AI learned from it.
Now here's the part that matters to you.
The companies building these AI systems — OpenAI, Google, Anthropic, Meta, Amazon — don't hire those trainers directly.
They outsource the work to platforms. Platforms like Outlier, Mindrift, OneForma, DataAnnotation, Appen, and about a dozen others.
Those platforms recruit workers globally. They pay in dollars.
They work with Nigerians.
And they need more people constantly, because AI development isn't slowing down.
Every new product, every new model update, every new language the AI learns requires a fresh round of human feedback.
This is not a trend. It is the infrastructure of the AI industry. And right now there is more demand for human trainers than there are qualified people to fill it.
You are sitting on the right side of that gap.
Keep your eyes here. We'll keep educating you about this industry of the future.
DEXA | #TechBackYourLife | Learnwithdexa.com
👍8❤5
ChatGPT didn't teach itself to be helpful. (And the people who do are making bank)
Before any AI product launches to the public, thousands of ordinary people spend months reading its responses, grading them, correcting them, rewriting them, and flagging the dangerous ones.
Those people are called AI trainers, data annotators, or RLHF specialists — depending on which platform you're on.
But their job is simple: teach the machine what good looks like.
RLHF stands for Reinforcement Learning from Human Feedback.
It sounds technical. It isn't.
Imagine you're teaching a child.
You show them two drawings and ask which one is more accurate.
They pick one. You tell them whether they were right. Over time, they get better at judging.
That's exactly what RLHF is, except the "child" is a language model worth billions of dollars, and your feedback is what shapes how it thinks.
Every time ChatGPT gives you a clear, helpful answer, somewhere in its history, a human rated a response like that one as "better" than the alternatives.
That human got paid for that rating.
The AI learned from it.
Now here's the part that matters to you.
The companies building these AI systems — OpenAI, Google, Anthropic, Meta, Amazon — don't hire those trainers directly.
They outsource the work to platforms. Platforms like Outlier, Mindrift, OneForma, DataAnnotation, Appen, and about a dozen others.
Those platforms recruit workers globally. They pay in dollars.
They work with Nigerians.
And they need more people constantly, because AI development isn't slowing down.
Every new product, every new model update, every new language the AI learns requires a fresh round of human feedback.
This is not a trend. It is the infrastructure of the AI industry. And right now there is more demand for human trainers than there are qualified people to fill it.
You are sitting on the right side of that gap.
Keep your eyes here. We'll keep educating you about this industry of the future and if you have interest in doing this, use the link below to get the pdf that teaches you everything.
Aitraining.learnwithdexa.com
DEXA | #TechBackYourLife |
Before any AI product launches to the public, thousands of ordinary people spend months reading its responses, grading them, correcting them, rewriting them, and flagging the dangerous ones.
Those people are called AI trainers, data annotators, or RLHF specialists — depending on which platform you're on.
But their job is simple: teach the machine what good looks like.
RLHF stands for Reinforcement Learning from Human Feedback.
It sounds technical. It isn't.
Imagine you're teaching a child.
You show them two drawings and ask which one is more accurate.
They pick one. You tell them whether they were right. Over time, they get better at judging.
That's exactly what RLHF is, except the "child" is a language model worth billions of dollars, and your feedback is what shapes how it thinks.
Every time ChatGPT gives you a clear, helpful answer, somewhere in its history, a human rated a response like that one as "better" than the alternatives.
That human got paid for that rating.
The AI learned from it.
Now here's the part that matters to you.
The companies building these AI systems — OpenAI, Google, Anthropic, Meta, Amazon — don't hire those trainers directly.
They outsource the work to platforms. Platforms like Outlier, Mindrift, OneForma, DataAnnotation, Appen, and about a dozen others.
Those platforms recruit workers globally. They pay in dollars.
They work with Nigerians.
And they need more people constantly, because AI development isn't slowing down.
Every new product, every new model update, every new language the AI learns requires a fresh round of human feedback.
This is not a trend. It is the infrastructure of the AI industry. And right now there is more demand for human trainers than there are qualified people to fill it.
You are sitting on the right side of that gap.
Keep your eyes here. We'll keep educating you about this industry of the future and if you have interest in doing this, use the link below to get the pdf that teaches you everything.
Aitraining.learnwithdexa.com
DEXA | #TechBackYourLife |
❤9
Congratulations to our Father's Day LinkedIn Premium Giveaway Winners!
A huge congratulations to:
🏆 Stella Orjiebele
🏆 Chisom Gracious
🏆 Adewoye Deborah
🏆 David Suleera
🏆 Gideon Adegoke
You've each won 2 months of LinkedIn Premium courtesy of DEXA!
Kindly send us a message through any of DEXA's official platforms (Facebook, LinkedIn, X, Instagram, or via our website) so we can verify your identity and process your gift today. Don't miss messaging us today.
Thank you to everyone who participated. We truly appreciate your support and loved reading your stories. More opportunities, giveaways, and exciting announcements are on the way.
Keep building. Keep leading. Keep inspiring. ❤️ #DEXA
#TechBackYourLife
A huge congratulations to:
🏆 Stella Orjiebele
🏆 Chisom Gracious
🏆 Adewoye Deborah
🏆 David Suleera
🏆 Gideon Adegoke
You've each won 2 months of LinkedIn Premium courtesy of DEXA!
Kindly send us a message through any of DEXA's official platforms (Facebook, LinkedIn, X, Instagram, or via our website) so we can verify your identity and process your gift today. Don't miss messaging us today.
Thank you to everyone who participated. We truly appreciate your support and loved reading your stories. More opportunities, giveaways, and exciting announcements are on the way.
Keep building. Keep leading. Keep inspiring. ❤️ #DEXA
#TechBackYourLife
❤5