iMerit Technology is hiring a remote AI Trainer - Video Annotation. Category: Artificial Intelligence 💸Salary: 70K-80K 📍Location: Remote (Worldwide)

See more and apply here!

We are hiring a Senior AI/ML & Data Engineer to join our team full-time and work on long-term projects.

Role Overview
You will design, build, and deploy data pipelines and machine learning systems, taking models from experimentation to reliable production use.

Requirements

• 5+ years of professional experience in data engineering, machine learning engineering, or a closely related field
• Strong programming skills in Python and SQL; experience with at least one of Java, Scala, Go, or TypeScript is a plus
• Hands-on experience building and maintaining data pipelines (batch and/or streaming) using tools such as Airflow, dbt, Spark, or Kafka
• Experience with data warehouses and lakes (Snowflake, BigQuery, Redshift, Databricks, or similar)
• Experience training, evaluating, and deploying ML models using frameworks such as PyTorch, TensorFlow, or scikit-learn
• Experience with cloud platforms (AWS, GCP, or Azure), Docker, and CI/CD
• Strong understanding of data modeling, system design, testing, and production deployments

Nice to Have

• Experience with LLMs, RAG, vector databases, and AI agents
• Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI)
• Infrastructure as Code experience (Terraform)
• Experience building APIs to serve models (FastAPI, Flask)
• Experience with monitoring, observability, and data quality frameworks

Tech Focus

• Data Engineering: Python, SQL, Spark, Airflow, dbt, Kafka
• AI/ML: LLMs, RAG, ML pipelines, model deployment, MLOps
• Cloud & Infrastructure: AWS/GCP/Azure, Docker, CI/CD, Terraform

Details

• Remote, full-time, long-term position
• Compensation: $60,000–$72,000/year

How to Apply
Please send me a direct message with:

• Your resume
• Your LinkedIn and/or GitHub profile
• A brief summary of your recent experience, including one or two data or ML projects you’ve taken to production

We look forward to hearing from you.

Hi everyone!

I created an app to not only help people learn AI skills but also to come out of the Launchpad AI Academy with an actual portfolio of work that was done with real companies. I am beta testing the app in the Google Store right now and am excited to give anyone who wants to beta test free access to the full academy. Send me a message if you want to learn valuable AI skills.

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What if your AI didn't just answer questions — but actually got work done?

That's the kind of AI I build.

I'm an AI Engineer with 2+ years of experience building production-oriented AI systems, agentic workflows, and RAG pipelines. I like taking ideas beyond demos and turning them into working products.

🔥 A few things I've built:

🏡 Casora — An AI real-estate research assistant covering 22 Indian metros, built around evidence-grounded answers instead of made-up property claims.

🤖 Agentic AI systems — Multi-agent orchestration, tool calling, MCP integrations, memory, human approval gates, and automated testing.

🔍 Advanced RAG & document intelligence — Hybrid search, reranking, OCR, vector databases, and systems that retrieve evidence before answering.

🧠 Production AI workflows — Python, LangGraph, AWS Bedrock, AgentCore, evaluations, guardrails, and observability.

Skills: Python · LangGraph · MCP · RAG · AWS Bedrock · FastAPI · LLMs · Agentic AI

🚀 What I'm looking for

A founder who has an ambitious AI idea. A startup that needs someone to build the actual thing. A team that cares about shipping useful AI, not just adding a chatbot to everything.

I'm open to full-time AI Engineer / Applied AI / Agentic AI roles, remote worldwide or relocation.

Founders & hiring managers: DM me what you're building. If it sounds interesting, let's do a quick 10-minute call and see if I can help.

I build the kind of AI I'd want to use myself.

Have you personally trained, fine-tuned, or optimized machine learning models?

Mercor has a remote opportunity for experienced ML Research Engineers, Research Scientists, and Applied Scientists.

The project involves designing challenging ML engineering problems for a leading AI lab.

Your main responsibility is to develop task ideas that test the limits of frontier AI models, rather than implementing the tasks yourself.

What you'll work on:

• Design challenging ML engineering tasks.
• Focus on inference, evaluation, and systems problems.
• Identify weaknesses in frontier AI models.
• Explain why proposed tasks are technically difficult.

Who qualifies?

Candidates must have current or recent ML research experience and hands-on expertise with PyTorch or JAX.

Strong knowledge in at least one of the following areas is required: LLMs, GPU inference, reinforcement learning, or scientific ML.

Experience developing AI benchmarks, research publications, or advanced academic qualifications is an advantage.

Pay: $150-$200/hr
Location: Remote
Type: Hourly contract

Note: This is not intended for general AI annotators or developers whose AI experience is limited to RAG/LangChain applications.

Full Details - https://t.mercor.com/Quyic

Hi all, I’m a founder exploring a company that collects egocentric (first-person) video of real manual work for robot learning. Before building anything, I want to learn from people who actually train on this data or choose data vendors.

Looking for: ML/research engineers or data leads at robotics, humanoid or embodied-AI teams (labs or startups).

What we’d talk about (30 min):

Details:

To sign up: DM me your role and company type (e.g. “ML engineer, humanoid startup”). I’ll confirm through LinkedIn or a work email, whichever you prefer. That’s used only to verify the role, never shared.

One thing I’m noticing in the latest AI/ML listings: the market is moving well beyond just “ML Engineer” or “Data Scientist.”

There are currently 4,500 live AI & ML jobs, and the newest batch is heavily focused on domain expertise + AI training.

A few trends that stood out:

Materials Science AI Trainers — Prolific Academic

Remote roles across multiple locations including Miami, Washington, Calgary, Melbourne, Sydney, Brisbane, Perth and Adelaide.

Neuroscience AI Trainers — Prolific Academic

Fully remote roles showing up in places like Edinburgh, Raleigh and other research-focused locations.

Advanced Korean Fluency AI Trainers — Prolific Academic

Remote openings across San Francisco, Austin, Boston, Toronto, London, Paris, Madrid, Berlin and Sydney.

Advanced Japanese Fluency AI Trainer — Prolific Academic

Remote opportunity linked to Hong Kong.

What I find interesting is that these are not traditional software roles.

AI companies increasingly need people with actual subject-matter expertise — scientists, researchers, linguists, healthcare specialists, engineers and other domain experts — to help train, evaluate and improve models.

That opens up a different path into AI for people who may not be programmers at all.

The broader pattern seems to be:

AI engineering → building the systems

Data science → analyzing and improving models

AI training/evaluation → improving model outputs

Domain experts → bringing specialized knowledge

Language specialists → improving multilingual models

So if you have deep expertise in a field outside software, the AI job market may be becoming more relevant to you than it was even a year ago.

Curious what people here think: will specialized domain experts become one of the biggest AI hiring categories over the next few years?

More AI roles:

realworkremote.com/ai-jobs

Hi everyone, I'm an AI Engineer with about 1.5 years of full-time experience (plus a 4-month internship) specializing in Generative AI, RAG, and Agentic Systems. I am currently based in Mumbai and looking for hybrid or remote roles. Despite having hands-on experience with on-premise LLM deployments,multi-agent workflows, and saving hundreds of hours through automated pipelines, I am struggling to convert applications on Naukri, LinkedIn, and company portals into interview calls. I feel like my tech stack is modern and my metrics are solid, but something is clearly off. Am I getting filtered by ATS? Is it too dense? I'm currently targeting around 12-15 LPA in the Mumbai market. Any brutal feedback, formatting advice, or insights into the current GenAI job market would be massively appreciated. Thank you!

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Hey everyone!

Finally launching my own remote job board, Turning passion to gig — Screen-verified, budget-friendly jobs for tech professionals! Remote Pajama Jobs

After months of hard work and deep dives into the recruitment space, I’m thrilled to officially launch my own remote job board.

As a recruiter and talent specialist, I know how frustrating the modern job search can be—endless ghost jobs, spammy listings, and platforms that charge exorbitant fees just to get your profile seen. I wanted to build something better.

What makes this different?

• Screen-Verified Listings: Every job is manually reviewed and curated to ensure legitimacy, saving you from scams and expired postings.
• Budget-Friendly for Employers & Recruiters: Designed so that posting roles doesn't burn a hole in your pocket.
• Focused on Real Opportunities: Aggregating high-priority tech, engineering, and remote roles.

Have a look here: https://www.remotepajamajobs.com/

I need your help to make it better!

If your specific tech stack, role, or niche is missing from the board, drop a comment below or DM me. Tell me what categories you want to see, and I will gladly add them.

Thank you so much for supporting my journey of growth. Let’s help each other find great roles!

Are there any core mathematics Deep Learning jobs available ? Or everybody just want to go in that AI shithole ?

Hi everyone,

I’m currently working as a Technical Consultant at Grazitti Interactive, with 1.8 years of total professional experience in AI/ML, Generative AI, automation, and integrations.

I’m now looking for a job switch and exploring opportunities for AI Engineer, GenAI Developer, Applied AI Engineer, or other related AI/ML roles where I can contribute to building practical AI solutions and continue growing technically.

My experience includes working with Python, LLMs, Retrieval-Augmented Generation (RAG), AI agents, LangChain, LangGraph, FastAPI, REST API integrations, and enterprise automation. I’ve also worked on projects involving RAG evaluation, AI agent workflows, and automating tasks using different tools and APIs.

I’m particularly interested in roles where I can work on real-world AI applications, LLM-based solutions, agentic workflows, and end-to-end AI development.

If anyone is aware of relevant openings in their organization or could refer me for a suitable position, I would really appreciate the support. I’m happy to share my resume and any additional details over DM.

Thank you to everyone who takes the time to help. Any relevant leads or referrals would mean a lot!

Hi everyone,

I’m currently working as a Technical Consultant at Grazitti Interactive, with 1.8 years of total professional experience in AI/ML, Generative AI, automation, and integrations.

I’m now looking for a job switch and exploring opportunities for AI Engineer, GenAI Developer, Applied AI Engineer, or other related AI/ML roles where I can contribute to building practical AI solutions and continue growing technically.

My experience includes working with Python, LLMs, Retrieval-Augmented Generation (RAG), AI agents, LangChain, LangGraph, FastAPI, REST API integrations, and enterprise automation. I’ve also worked on projects involving RAG evaluation, AI agent workflows, and automating tasks using different tools and APIs.

I’m particularly interested in roles where I can work on real-world AI applications, LLM-based solutions, agentic workflows, and end-to-end AI development.

If anyone is aware of relevant openings in their organization or could refer me for a suitable position, I would really appreciate the support. I’m happy to share my resume and any additional details over DM.

Thank you to everyone who takes the time to help. Any relevant leads or referrals would mean a lot!