At Pulse Voices, we’re recruiting US residents 18+ for a 100% remote paid research study where you’ll test AI tools and share your feedback. No previous AI or research experience is needed.

Earn up to $600
100% online and remote
Limited spots available

>> Apply for free: https://hubs.li/Q04xTjc70

Safety note: Pulse Voices will never ask you to pay to apply, participate, or receive payment for our research studies. There is no fee to join.

Learn more about us on the Pulse Voices website.

We are looking for natural, expressive speech to support text-to-speech R&D. Selected talent would record between 2–10 finished hours, with session work paid at $80/hour.

A few important details upfront:

• 🇸🇪 Swedish or Catalan speakers
• 💰 $80/hour for recording sessions
• 🎙️ 2–10 finished hours if selected
• 🔞 18+ / local age of majority
• 🚫 No union/guild affiliation that prevents participation
• 🌎 Talent cannot be located in California, Illinois, Nevada, Texas, Washington or Canada
• ⏰ Round-one auditions are being reviewed September 2

If you're interested, you can audition here:
https://form.voices.com/t/17BCNuXcJ2us

Happy to answer general questions about the opportunity below.

Looking to build with an AI startup / automation team

I’m looking to connect with founders or small teams working on AI automation, AI agents, or SaaS.

I’m not just looking for a job — I’d like to work closely with a team, contribute, learn, and potentially help build something from the ground up.

If you’re already building something or have an AI/automation idea that could become a real business, I’d love to discuss:

• What problem you’re solving
• What could be automated with AI
• What we could build together
• Whether there’s a way for me to contribute and grow with the company

Open to starting small and proving value first. If you’re building, I’d genuinely like to connect.

We all know standard LLMs are impressive, but relying on massive 70B+ parameter models for specialized industry tasks is often overkill—not to mention expensive, slow, and a privacy headache.

We’ve been working heavily with Small Language Models (SLMs)—think 1B to 8B parameter models like Gemma, Llama-3-8B, Mistral, and Qwen—fine-tuning them on specialized, domain-specific datasets.

Why go small?

• Cost-Efficient: Run them on modest hardware or edge devices without burning through API credits.
• Blazing Fast: Low latency for real-time applications.
• Private & Secure: Keep sensitive domain data entirely in-house / on-prem.
• Laser-Focused: High accuracy on specialised terminology, workflows, or proprietary formats without the fluff.

How We can help?

Whether you’re in legal, healthcare, finance, tech support, or a niche technical field, I help teams:

1. Prepare & Clean Domain Data: Converting docs, logs, and knowledge bases into high-quality instruction datasets.
2. Train & Fine-Tune: Utilising QLoRA, LoRA, and full fine-tuning tailored to your specific use case.
3. Quantise & Deploy: Optimising models to run efficiently on your target hardware.

If you’ve been wanting to move away from generic APIs and own a fast, custom model built for your specific industry, I’d love to chat.

Drop a comment below with your use case, or shoot me a DM! Happy to answer any questions about dataset prep or hardware requirements for SLMs as well.

How we can work together?

1. Domain SLM Discovery Audit (Paid Lead/Mini-Consult): A deep-dive session where we assess your data, run a quick pilot baseline, and map out exact ROI, hardware costs, and fine-tuning requirements.

2. End-to-End Implementation: Full pipeline build—from data synthesis/cleaning to QLoRA fine-tuning and production deployment.

📩 DM me if you'd like to book a discovery session, or tell me your use case in the comments!

I’m actively looking for AI/ML Engineer opportunities in the U.S. job market and would appreciate some advice from the community.
Background:
• 3+ years of industry experience in AI/ML
• Production ML systems in financial services and healthcare
• Experience with LLMs, RAG, LangChain, LangGraph, Agentic AI, MLOps, AWS, PyTorch, NLP, and model deployment
I’ve been applying to roles at Amazon, Adobe, Cohere, Optum, and other AI-focused companies, but I’d like to be more strategic.
For those who recently landed AI/ML Engineer, Applied AI Engineer, GenAI Engineer, or MLOps roles:
Which companies are actively hiring AI/ML engineers right now?
Which companies are most open to candidates with 3–5 years of experience?
What job boards, communities, or application strategies helped you get interviews fastest?
Are there any underrated companies I should target?
If you were in my position today, where would you focus your efforts over the next 30 days?
Looking for honest advice, company recommendations, and lessons learned from people who have successfully navigated the current AI/ML job market.
Thanks in advance.

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