# AI Jobs vs StackRef

AI Jobs records 40,342 monthly visits with -0.4% month-over-month growth and Paid pricing. StackRef records 765 monthly visits with +184.4% growth and Contact for Pricing pricing.

| Metric | [AI Jobs](https://openaitools.app/tool/ai-jobs) | [StackRef](https://openaitools.app/tool/stackref) |
| :--- | :--- | :--- |
| Website URL | https://aijobs.ai | https://stackref.com |
| Categories | AI Jobs, AI Recruiting | Other |
| Pricing Model | Paid | Contact for Pricing |
| Monthly Visits | 40,342 | 765 |
| MoM Growth Rate | -0.4% | +184.4% |
| Primary Market | United States | Indonesia |
| Direct Visits | 14,275 | 305 |
| Review Score | 4.1 | 4 |
| Saved Count | 2 | 0 |
| Supported Platforms | Website | Website |

## AI Jobs

AI Jobs (aijobs.ai) is a specialized career marketplace focused entirely on artificial intelligence, machine learning, and data science hiring. Rather than spreading openings across every industry, the platform curates roles from AI-first startups and established technology companies, giving candidates a focused place to search for technical positions that match their skills.

For candidates, the site works like most modern job boards: browse featured and latest listings, explore companies, and filter by category such as machine learning, data science, research, computer vision, or MLOps. Listings pull in roles from well-known organizations across the AI ecosystem, and applying is handled through a simple in-browser form with resume and cover letter upload.

For employers, AI Jobs is a paid posting platform. Jobs can be promoted with homepage placement, social distribution, and branded company pages, and companies can buy discounted bundles of postings. It positions itself as a reach-oriented channel for recruiting hard-to-find AI talent rather than a full applicant tracking system.

**Pricing & Plans:** Employer-focused paid posting. A single job posting is listed at $299 USD for a 30-day live period with homepage placement and social promotion. Discounted job packs are available (for example, 3 jobs for $749, 5 for $1,099, and 10 for $1,799), and highlighting a listing is offered as an add-on for $49. Job seekers browse and apply for free.

- **AI-focused job listings:** Thousands of open roles concentrated in artificial intelligence, machine learning, data science, and adjacent fields such as research, computer vision, and MLOps.
- **Category and company discovery:** Browse by popular categories, explore company profiles, and see which organizations have the most open positions at any given time.
- **Direct in-browser applications:** Candidates can apply to most listings without leaving the site, submitting a resume and cover letter through a built-in application form.
- **Featured and promoted listings:** Employers can secure homepage placement, highlighted styling, and category or blog promotion so a posting stands out to visitors.
- **Job packs for volume hiring:** Teams hiring repeatedly can purchase bundles of posting credits at a discount and use them whenever they need to publish a new role.

**Strengths:** Highly focused on AI, ML, and data science, so listings are relevant to the audience; Free and straightforward for candidates to search and apply; Promoted placement and bundles give employers flexible visibility options; Company profiles help candidates research potential employers before applying

**Limitations:** Posting is a paid product, which may not suit very small budgets; Coverage is limited to AI-adjacent fields rather than every industry; The platform is a listing channel, not a full applicant tracking or hiring suite

[Profile (Markdown)](https://openaitools.app/tool/ai-jobs.md)

## StackRef

StackRef is an independent consulting practice run by Keith McDuffee, a CISSP-certified cloud architect with more than 20 years across infrastructure, DevOps, and security, currently also a Senior Director of DevOps and Application Security. The consulting side provides hands-on help designing, securing, and optimizing cloud environments on AWS, GCP, and Azure, with an emphasis on being precise and clear about requirements rather than over-charging or over-complicating.

Alongside consulting, StackRef offers its own designed, self-hosted, end-to-end internal hackathon manager. This product supports the hackathon lifecycle with features such as sandbox environments, AI-assisted scoring, and team collaboration, making it useful for organizations that want to run internal innovation events on their own infrastructure rather than a third-party SaaS.

Client reviews highlight fast response, deep end-to-end infrastructure knowledge, and a willingness to dig into problems and propose multiple solutions. Being based near Boston and working remotely with clients worldwide, StackRef fits teams that want a senior, accountable expert plus a purpose-built internal hackathon tool. Pricing is arranged through a free intro call or direct email.

**Pricing & Plans:** StackRef does not publish fixed prices. Its model is contact for pricing: you book a free 30-minute intro call or email directly to discuss consulting scope or the self-hosted hackathon platform and receive a quote.

- **Cloud architecture consulting:** Hands-on architecture, security, and cost optimization across AWS, GCP, and Azure, led by a CISSP-certified architect with 20+ years of experience.
- **Security and compliance:** Focused engagements on hardening cloud environments and supporting compliance, with an emphasis on robust, well-governed infrastructure.
- **Cost optimization:** Practical work to reduce cloud spend and right-size infrastructure without sacrificing reliability.
- **Internal hackathon platform:** A self-designed, self-hosted, end-to-end internal hackathon manager covering sandbox environments and AI scoring to run innovation events.
- **Direct expert access:** Booking a free 30-minute call and working directly with the principal architect instead of going through a queue.

**Strengths:** Direct access to a CISSP-certified architect with 20+ years of experience; Cross-cloud expertise spanning AWS, GCP, and Azure; Consulting paired with a self-hosted hackathon platform; Free 30-minute intro call before committing

**Limitations:** Consulting capacity is tied to one principal architect, which can limit parallel engagements; Hackathon software and consulting are distinct offerings that may suit different buyers; No published fixed pricing, so budgeting requires a conversation; The platform is niche, focused on cloud architecture and internal hackathons rather than broad team tooling

[Profile (Markdown)](https://openaitools.app/tool/stackref.md)

## Frequently Asked Questions

### How do AI Jobs and StackRef compare in monthly traffic?

AI Jobs has 40,342 monthly visits, while StackRef has 765. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AI Jobs has a month-over-month growth rate of -0.4%; StackRef has +184.4%.

### How does pricing compare?

AI Jobs: Paid. Employer-focused paid posting. A single job posting is listed at $299 USD for a 30-day live period with homepage placement and social promotion. Discounted job packs are available (for example, 3 jobs for $749, 5 for $1,099, and 10 for $1,799), and highlighting a listing is offered as an add-on for $49. Job seekers browse and apply for free. StackRef: Contact for Pricing. StackRef does not publish fixed prices. Its model is contact for pricing: you book a free 30-minute intro call or email directly to discuss consulting scope or the self-hosted hackathon platform and receive a quote.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Outlier AI](https://openaitools.app/tool/outlier-ai) | 10,372,036 | +7.6% | Paid | Get paid to train the next generation of AI models | [.md](https://openaitools.app/tool/outlier-ai.md) |
| 2 | [OpenTrain AI](https://openaitools.app/tool/opentrain-ai) | 1,469,348 | +11.2% | Contact for Pricing | Hire tested AI trainers and data labelers for RLHF, evaluation, and annotation | [.md](https://openaitools.app/tool/opentrain-ai.md) |
| 3 | [Jack and Jill](https://openaitools.app/tool/jack-and-jill) | 1,254,267 | +11.2% | Freemium, Contact for Pricing | AI agents that introduce great candidates to ambitious companies | [.md](https://openaitools.app/tool/jack-and-jill.md) |
| 4 | [Angular](https://openaitools.app/tool/angular-dev) | 735,108 | -7.5% | Free | Google's batteries-included framework for scalable web apps | [.md](https://openaitools.app/tool/angular-dev.md) |
| 5 | [Bossjob](https://openaitools.app/tool/bossjob) | 180,937 | +99.7% | Freemium | AI-powered job search where you chat directly with hiring bosses | [.md](https://openaitools.app/tool/bossjob.md) |
| 6 | [Open Data Science (ODS.ai)](https://openaitools.app/tool/ods-ai) | 159,630 | +15.9% | Free | Community hub for data science, machine learning and AI practitioners | [.md](https://openaitools.app/tool/ods-ai.md) |
| 7 | [JobTensor](https://openaitools.app/tool/jobtensor-com) | 83,453 | -8% | Freemium, Free | AI-powered job search for IT, engineering and science professionals | [.md](https://openaitools.app/tool/jobtensor-com.md) |
| 8 | [MoAIJobs](https://openaitools.app/tool/mo-ai-jobs) | 77,554 | +202.1% | Paid | A curated board for the best AI jobs at top labs | [.md](https://openaitools.app/tool/mo-ai-jobs.md) |
| 9 | [20-63mm Medium Duty Rigid LSZH Conduit](https://openaitools.app/tool/20-63mm-medium-duty-rigid-lszh-conduit) | 24,860 | +11.3% | Contact for Pricing | Low-smoke, halogen-free rigid PVC conduit for safer electrical containment | [.md](https://openaitools.app/tool/20-63mm-medium-duty-rigid-lszh-conduit.md) |
| 10 | [Altern](https://openaitools.app/tool/altern) | 20,753 | -13.7% | Free | A curated directory, leaderboard, and newsletter for discovering AI tools | [.md](https://openaitools.app/tool/altern.md) |

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Source: https://openaitools.app/compare/ai-jobs-vs-stackref

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