DEV Community: Jie Hong

Join Our AI Training & Expert Collaboration Community

Jie Hong — Mon, 02 Nov 2026 01:17:29 +0000

At IUNGO Technology, we're building a professional community connecting scientists, experienced software developers, researchers, engineers, financial professionals, and other domain experts with opportunities in AI training and evaluation.

As AI systems become more advanced, they increasingly rely on human expertise in specialized fields, from software engineering and mathematics to biology, physics, finance, and scientific research.

Visit: https://iungotech.com/ai-community

We're leading the qualified professionals to get the active projects from AI platforms with daily updated announcement, and assessment guideline.
Once you are shortlisted in the projects, we are connecting professionals to the verified skilled taskers.

Who We're Looking For

We welcome professionals with strong expertise in areas including:

Software Engineering: Experienced developers, full-stack and backend engineers, AI/ML engineers, and programming specialists.

Science & Research: Scientists, PhD holders, postdoctoral researchers, and specialists in biology, chemistry, physics, and related fields.

Mathematics & Data Science: Mathematicians, statisticians, data scientists, and quantitative researchers.

Finance & Business: Financial analysts, accountants, economists, and financial domain experts.

Other Specialized Fields: Professionals with advanced technical, academic, or industry knowledge.

How Our Community Works

Apply to Join

Interested professionals can apply to become part of our growing expert network through our website.

Join Our Slack Community

After reviewing applications, we invite qualified members to our Slack workspace, where they can connect with other professionals, exchange information, and explore opportunities.

Discover AI Training Opportunities

We guide members toward relevant AI training platforms and evaluation projects that align with their qualifications and professional experience and also support the technical assessments.

Connect With Verified Taskers

We maintain a network of verified, skilled taskers who can collaborate on projects.

Grow Together

Our goal is to create a supportive, long-term professional network where domain experts and skilled contributors can build meaningful working relationships together.

Free Membership for Domain Experts

Joining our community is completely free for domain experts. We do not charge registration fees or commissions to specialists.

Whether you're an experienced software developer, research scientist, PhD candidate, financial specialist, or another qualified professional, we'd love to connect.

Interested in becoming part of our community?

Visit: https://iungotech.com/ai-community

IUNGO Technology — Connecting Human Expertise with AI Opportunities.

Our AI Training & Expert Collaboration Community

Jie Hong — Fri, 30 Oct 2026 03:04:05 +0000

IUNGO Technology | Join Our AI Training & Expert Collaboration Community

Visit: https://iungotech.com/ai-community

As AI systems become more advanced, they increasingly rely on human expertise in specialized fields, from software engineering and mathematics to biology, physics, finance, and scientific research.

Who We're Looking For

We welcome professionals with strong expertise in areas including:

Software Engineering: Experienced developers, full-stack and backend engineers, AI/ML engineers, and programming specialists.

Science & Research: Scientists, PhD holders, postdoctoral researchers, and specialists in biology, chemistry, physics, and related fields.

Mathematics & Data Science: Mathematicians, statisticians, data scientists, and quantitative researchers.

Finance & Business: Financial analysts, accountants, economists, and financial domain experts.

Other Specialized Fields: Professionals with advanced technical, academic, or industry knowledge.

How Our Community Works

Apply to Join

Interested professionals can apply to become part of our growing expert network through our website.

Join Our Slack Community

After reviewing applications, we invite qualified members to our Slack workspace, where they can connect with other professionals, exchange information, and explore opportunities.

Discover AI Training Opportunities

We guide members toward relevant AI training platforms and evaluation projects that align with their qualifications and professional experience and also support the technical assessments.

Connect With Verified Taskers

We maintain a network of verified, skilled taskers who can collaborate on projects.

Grow Together

Our goal is to create a supportive, long-term professional network where domain experts and skilled contributors can build meaningful working relationships together.

Free Membership for Domain Experts

Joining our community is completely free for domain experts. We do not charge registration fees or commissions to specialists.

Whether you're an experienced software developer, research scientist, PhD candidate, financial specialist, or another qualified professional, we'd love to connect.

Interested in becoming part of our community?

Visit: https://iungotech.com/ai-community

IUNGO Technology — Connecting Human Expertise with AI Opportunities.

Join Our AI Training & Expert Collaboration Community

Jie Hong — Fri, 30 Oct 2026 03:00:41 +0000

IUNGO Technology | Join Our AI Training & Expert Collaboration Community

Visit: https://iungotech.com/ai-community

As AI systems become more advanced, they increasingly rely on human expertise in specialized fields, from software engineering and mathematics to biology, physics, finance, and scientific research.

Who We're Looking For

We welcome professionals with strong expertise in areas including:

Software Engineering: Experienced developers, full-stack and backend engineers, AI/ML engineers, and programming specialists.

Science & Research: Scientists, PhD holders, postdoctoral researchers, and specialists in biology, chemistry, physics, and related fields.

Mathematics & Data Science: Mathematicians, statisticians, data scientists, and quantitative researchers.

Finance & Business: Financial analysts, accountants, economists, and financial domain experts.

Other Specialized Fields: Professionals with advanced technical, academic, or industry knowledge.

How Our Community Works

Apply to Join

Interested professionals can apply to become part of our growing expert network through our website.

Join Our Slack Community

After reviewing applications, we invite qualified members to our Slack workspace, where they can connect with other professionals, exchange information, and explore opportunities.

Discover AI Training Opportunities

We guide members toward relevant AI training platforms and evaluation projects that align with their qualifications and professional experience and also support the technical assessments.

Connect With Verified Taskers

We maintain a network of verified, skilled taskers who can collaborate on projects.

Grow Together

Our goal is to create a supportive, long-term professional network where domain experts and skilled contributors can build meaningful working relationships together.

Free Membership for Domain Experts

Joining our community is completely free for domain experts. We do not charge registration fees or commissions to specialists.

Whether you're an experienced software developer, research scientist, PhD candidate, financial specialist, or another qualified professional, we'd love to connect.

Interested in becoming part of our community?

Visit: https://iungotech.com/ai-community

IUNGO Technology — Connecting Human Expertise with AI Opportunities.

38 Real-World AI Evaluation & Data Annotation Tasks: Open-Source GitHub Projects for AI Engineers and Developers

Jie Hong — Wed, 28 Oct 2026 21:53:19 +0000

Hello DEV Community! 👋

I'm Helex, a Senior AI Engineer and Full-Stack Developer with experience working with AfterQuery Experts.

I want to share some of my public GitHub repositories with fellow AI trainers, data annotation specialists, and software engineers working on AI training and evaluation.

Over time, I've built a collection of 38 benchmark-style tasks covering different technical and professional domains, including software engineering, machine learning, debugging, data processing, and evaluation.

I'm making these repositories easy to discover so other developers can explore the technical approaches, learn from the implementations, and improve their own AI evaluation skills.

🚀 My GitHub Repositories

1. AI Data Annotation & Evaluation — 38 Tasks

https://github.com/helexdev1004/afterquery-data-annotation

A central collection of benchmark-style tasks covering multiple domains of AI evaluation and data annotation.

2. ML Training Analysis

https://github.com/helexdev1004/afterquery-reckon-sweep-cost

An example involving training logs, batch-size experiments, and compute-cost analysis.

3. Software Engineering & Database Concurrency

https://github.com/helexdev1004/afterquery-ledger-rule-races

A benchmark-style project exploring concurrency problems and correctness in database systems.

4. Site Reliability Engineering

https://github.com/helexdev1004/afterquery-reckon-error-budgets

A technical evaluation task focused on calculating and understanding service error budgets.

💡 Why I'm Sharing These

AI training and evaluation require more than simply generating answers.

They involve:

Understanding complex technical requirements
Writing reliable and maintainable code
Developing reproducible test environments
Evaluating AI-generated solutions
Identifying edge cases and hidden failure modes
Applying logical reasoning and sound engineering practices

I hope these public repositories can serve as useful learning references for developers interested in these areas.

🤝 Let's Connect on GitHub!

I'm continuing to explore AI engineering, benchmark development, full-stack development, and technical evaluation.

If you're an AI trainer, software engineer, or developer interested in these topics, I'd love to connect.

👉 Follow my GitHub for more repositories, technical examples, and AI engineering resources:

⭐ https://github.com/helexdev1004

Let's keep learning and building together!

These are personal GitHub resources, not official AfterQuery documentation or training instructions.

38 Real-World AI Evaluation & Data Annotation Tasks: Open-Source GitHub Projects for AI Engineers and Developers

Jie Hong — Wed, 28 Oct 2026 21:32:20 +0000

Hello DEV Community! 👋

I'm Helex, a Senior AI Engineer and Full-Stack Developer with experience working with AfterQuery Experts.

I want to share some of my public GitHub repositories with fellow AI trainers, data annotation specialists, and software engineers working on AI training and evaluation.

I'm making these repositories easy to discover so other developers can explore the technical approaches, learn from the implementations, and improve their own AI evaluation skills.

🚀 My GitHub Repositories

1. AI Data Annotation & Evaluation — 38 Tasks

https://github.com/helexdev1004/afterquery-data-annotation

A central collection of benchmark-style tasks covering multiple domains of AI evaluation and data annotation.

2. ML Training Analysis

https://github.com/helexdev1004/afterquery-reckon-sweep-cost

An example involving training logs, batch-size experiments, and compute-cost analysis.

3. Software Engineering & Database Concurrency

https://github.com/helexdev1004/afterquery-ledger-rule-races

A benchmark-style project exploring concurrency problems and correctness in database systems.

4. Site Reliability Engineering

https://github.com/helexdev1004/afterquery-reckon-error-budgets

A technical evaluation task focused on calculating and understanding service error budgets.

💡 Why I'm Sharing These

AI training and evaluation require more than simply generating answers.

They involve:

Understanding complex technical requirements
Writing reliable and maintainable code
Developing reproducible test environments
Evaluating AI-generated solutions
Identifying edge cases and hidden failure modes
Applying logical reasoning and sound engineering practices

I hope these public repositories can serve as useful learning references for developers interested in these areas.

🤝 Let's Connect on GitHub!

I'm continuing to explore AI engineering, benchmark development, full-stack development, and technical evaluation.

If you're an AI trainer, software engineer, or developer interested in these topics, I'd love to connect.

👉 Follow my GitHub for more repositories, technical examples, and AI engineering resources:

⭐ https://github.com/helexdev1004

Let's keep learning and building together!

These are personal GitHub resources, not official AfterQuery documentation or training instructions.