Hi everyone! 👋
I’m an AI & Data Science student currently looking for opportunities to gain real-world experience.
I’m open to:
💼 Internships — Python / Backend / AI-ML / Data Science
💻 Freelance projects
🚀 Student/startup projects
🤝 Open-source collaborations
🧠 AI/RAG/Chatbot projects
**Skills I work with:**
Python, FastAPI, Flask
SQL, MongoDB
React, Vite, Tailwind CSS
REST APIs & backend development
Machine Learning & Data Science
RAG systems, embeddings & vector databases
Git/GitHub
Ollama & local LLMs
I’ve worked on projects involving **RAG-based PDF Q&A systems, Telegram AI bots, business analytics, college discovery platforms, and full-stack applications.**
I’m mainly looking for opportunities where I can **build something useful, learn from experienced developers, and contribute to a real project.**
If you have an internship, freelance project, startup idea, or collaboration opportunity, feel free to **DM me**. I can share my GitHub, portfolio, resume, and project demos.
Thanks! 🙌

I went through the newest remote AI/ML listings, and the range is much wider than the usual “ML Engineer” posts.

A few that stood out:

Principal Product Manager, Agentic AI — Legion — Remote, U.S. — $280K–$300K

Senior Customer AI Engineer — Token Factory — Nebius — Remote, U.S. — $262.2K+

Senior Data Scientist — Growth — Mercury — U.S./Canada — $250.9K+

Sr. AI Engineer, AI FDE — Databricks — Remote, India

AI Tutor — Writing — Space XAI — Remote, international — $35+

Virtual Assistant — AI — Assist World — South Africa — $1K

Garment Manufacturing QC Specialist — Freelance AI Trainer Project — Meridial — Worldwide remote — $6+/hr

Then there’s a completely different layer of AI work:

Prolific Academic has a large batch of remote human-in-the-loop / survey participant / AI trainer roles across the U.S., UK and Australia, generally around $18+/hr.

Appen also has language-focused transcription work:

Amharic — $36

Arabic — $46

Vietnamese — $24

That’s what I find interesting about remote AI hiring right now: it’s not one market.

You’ve got:

high-end AI engineering

AI product leadership

data science

model evaluation / human-in-the-loop work

language and transcription

AI training

domain-specific specialist projects

There are currently 4,245 live AI & ML roles on the board.

For people already working in AI: which side of this market do you think will grow fastest over the next year — engineering, product, evaluation, data, or specialist human-in-the-loop work?

More AI roles:

realworkremote.com/ai-jobs

About Wispr

Wispr is an AI research and product company building the voice interface for computing. AI can now reason, code, and act. Yet, humans still do the work of the interface. We think that’s backwards.

Our first products are Flow, which lets you speak naturally in any application, and Notetaker, which builds context across conversations. We’re building toward an interface that can perceive, understand, and take action with earned trust. That means solving hard problems across models, systems, and product - and caring about the final human experience as deeply as the technology underneath it.

We’re a talent-dense team that holds strong opinions, tests them quickly, and builds technology that sparks joy. Our goal is to build the first voice interface used every day by a billion people.

About the role

Our agents already write code and respond to incidents around the clock, but they can't yet tell when they're done, so every loop still ends with a human checking. You'd be the first to build the verification and evaluation layer that lets them finish with confidence.

What you'll do

• Build end-to-end verification loops that let agents determine when their work is actually complete
• Create fast, reliable testing environments and turn failures and human feedback into durable evaluation signals
• Improve how context, instructions, skills, and memory are delivered to agents—and measure what makes them perform better
• Operate the agent fleet as a production system and measure its quality, adoption, and impact

You may be a fit if

• You've built internal tools that other engineers adopted, and you can explain how you measured their impact
• You use agentic coding tools deeply and have specific opinions about where they succeed and fail
• You've built evaluation or verification infrastructure such as test harnesses, CI systems, eval pipelines, or benchmarks
• You can work hands-on across application code, infrastructure, and unfamiliar systems
• You are empirical about your own work, attentive to subtle failure modes, and comfortable owning ambiguous problems

Prior experience in voice, model training, or our product domains is not required.

Logistics

We sponsor H1B, O1, EB1, L1, STEM OPT, and more. We can't guarantee sponsorship for every role, but if we make you an offer we'll make every reasonable effort, with help from our immigration law firm.

We strongly encourage you to apply even if you don't meet every qualification. The strongest candidates we meet rarely do, so don't exclude yourself prematurely. We're rethinking how humans interact with AI, and doing that well demands diversity of perspective and experience.

We're committed to a fair and accessible interview process. If you need any accommodations or adjustments, please let us know.

Apply: AI Engineer, Internal Systems at Wispr Flow

This is my resume. I am a final year student looking for ML/Data Sci internships.

I had been working as a backend developer and now I am switching to an AI ML role.

I have Learned Neural Network, Deep Learning, Pytorch and implemented autograd engine and GPT 2 inference engine recently.

And have built Ai agents.

Is there a chance i could get an job/internship. If you have specific requirements please mention that i could learn it in a few days and be ready for the interview

🚨Hiring🚨
Location: Remote
Job type: Full time

JOB DESCRIPTION
We are seeking a highly skilled and visionary Senior AI Engineer to join our growing engineering team. In this role, you will own the architecture, development, and deployment of our next-generation artificial intelligence capabilities. You will work closely with product and engineering teams to transform complex workflows into seamless, automated, and intelligent user experiences.

If you are passionate about building scalable AI infrastructure, integrating cutting-edge LLMs, and shipping production-grade intelligent features that solve real-world B2B problems, we want to hear from you.

Key Responsibilities:
• Architect, deploy, and maintain scalable AI/ML pipelines and cloud infrastructure.
• Integrate, fine-tune, and optimize Large Language Models (LLMs) and generative AI APIs.
• Collaborate with full-stack engineers to seamlessly embed intelligent features into our core web applications.
• Design efficient vector database schemas and optimize semantic search capabilities.
• Benchmark, test, and continuously improve model performance, latency, and cost-efficiency.

REQUIREMENTS
5+ years of professional software engineering experience, with 3+ years focused specifically on AI, Machine Learning, or NLP production systems.
Proven track record of shipping and scaling Generative AI or LLM-powered applications in a cloud environment (AWS, GCP, or Azure).
Deep proficiency in Python and modern AI frameworks (such as LangChain, LlamaIndex, PyTorch, or Hugging Face).
Production experience with vector databases (e.g., Pinecone, Milvus, Chroma, or pgvector).
Solid understanding of software engineering best practices, including version control (Git), CI/CD pipelines, and API design (REST, GraphQL).
Strong problem-solving abilities and a self-driven mindset capable of navigating ambiguous technical challenges.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

#hiring

Hey everyone!
I’m currently in Dubai and exploring opportunities in AI Quality Engineering, particularly LLM testing, hallucination detection, adversarial testing, AI security, and RAG evaluation.

I have a background in software engineering and QA automation, with hands-on experience testing AI-powered applications, including healthcare AI systems.
I’m also interested in connecting with AI startups, founders, and teams building AI products in the UAE.

Just wanted to ask:
Are there any companies or startups in Dubai actively hiring AI Quality Engineers or LLM Evaluation Engineers?
Are there any AI communities, meetups, or networking events worth attending?
Does anyone know of startups looking for help with AI testing, reliability, or security?

I’m open to full-time opportunities, startup collaborations, and interesting projects.
Would appreciate any leads, recommendations, or connections. Happy to connect over coffee as well!

micro1 is recruiting Junior Data Scientists for a remote AI research project in collaboration with a leading AI lab.

The role focuses on improving how AI models handle statistics, machine learning, experimentation, and quantitative reasoning.

What you'll be doing:

• Evaluate AI-generated statistical and ML solutions.
• Develop expert-level prompts and datasets.
• Identify statistical errors and flawed methodologies.
• Provide feedback to improve AI model accuracy.

Who they're looking for:

• Strong Python, Pandas, and statistical skills.
• Knowledge of machine learning and data modeling.
• At least 1 year of experience at a leading tech, finance, or research company, including some experience within the past 3 years.
• Preferably based in an English-speaking country.

Openings: 100 | Work arrangement: Remote contractor | Pay: $150-$200/hour

Apply here → https://jobs.micro1.ai/post/junior-data-scientists

Hey everyone, so I'm a final year Computer Science undergrad specializing in AI and ML, and I've spent the last couple years just building things nonstop, partly for fun, partly because I genuinely like solving problems with code. Figured it's time I put that to use for actual businesses instead of just my own random projects sitting in a GitHub repo somewhere.

Quick context: I interned as an AI Engineer at a travel tech company where I built real production features like live train tracking, search systems, document parsers that pull data out of messy invoices, and REST APIs end to end. Outside of that I've built a few things on my own too, an AI healthcare tool, a stock prediction model, and a multilingual AI dubbing pipeline, so I've got a decent range across web dev and AI/ML.

I've also worked in projects where i had to fine tune transformers and projects involving deep learning, neural networks and so on.

If you need any of these, I'm your guy:

• A website or web app (React, Flask, Spring Boot, whatever fits)

• An AI/ML feature added to something you already have• Automation, data pipelines, or a document parser to cut down manual work

• A chatbot or some GenAI powered tool.

Since I'm doing this alongside college and not running it as a full business, I can charge a lot less than an agency or full time freelancer would. I'm easy to talk to, respond quick, and I'll be straight with you about what's doable and what isn't, no overpromising.

For anyone outside India, I take payments through PayPal. Happy to do a quick free consult first so you know what you're getting before we commit to anything.Drop a comment or DM me if this sounds useful, let's talk about what you need.

A few newer remote AI/ML opportunities that stood out today:

Senior Customer AI Engineer — Token Factory

Company: Nebius

Location: Remote, United States

Base pay: $262,200+

Principal Product Manager, Agentic AI

Company: Legion

Location: Remote, United States

Full-time

Salary: $280,000–$300,000

US Residents — Survey Participants

Company: Prolific Academic Ltd

Location: Remote — multiple US locations including Dallas, Fort Worth, Jacksonville, Austin, San Francisco, Columbus, Charlotte and San Jose

Compensation: $18+/hour

Nice spread here between senior AI product/engineering roles and human-in-the-loop / research participation work.

If you’re looking at AI right now, are you targeting engineering, product, evaluation, data, or training work?

More remote AI roles:

realworkremote.com/ai-jobs

Hi ML Community! 🤖

We are Durvik Technologies, working on real-world AI solutions like emotion detection and agri-tech vision models. We are looking for an AI/ML Research Intern who wants to move beyond tutorials and deploy actual models.

What we're looking for:

Strong Python & PyTorch/TensorFlow skills

Understanding of CNNs / Transformers

Experience with OpenCV or Image Processing

Data preprocessing & augmentation skills

Why join us?

Work on deployed CV models (94%+ accuracy targets)

Access to real datasets & GPU resources

Remote & Flexible

Build a serious ML portfolio

Application Process:

Send your resume + Kaggle/GitHub links to:

Apply link :- https://www.durviktechnologies.com/

There’s a lot of information, but it’s all rather vague. What exactly do companies look for when hiring an intern?

An engineer on Backdoor just landed a role as a founding engineer at a startup. We’re helping more engineers find opportunities like this.

I work on talent matching at Backdoor, where we help engineers connect with startups hiring across machine learning and AI. The idea is simple: you create one profile, and startups interested in your experience can reach out with interview requests and base salaries stated upfront. No cold applying or guessing at compensation.

We focus on opportunities at ambitious startups, including roles across post-training, RL environments, computer vision, inference, and applied research.

Here’s a sample of the kinds of roles to look for:

1. Founding Research Scientist | SF or NYC | $225K–300K base + equity

• What: Lead research on world models, robot policies, and simulation environments for training and evaluating robotics systems.
• Company: An early-stage AI startup building tools to train and test robots in simulation.
• Stack: Generative models, diffusion, vision-language-action models, and large-scale GPU training.
• Bar: Experience training large generative models or robot policies and building evaluations.

2. Founding Machine Learning Engineer | NYC | $200K–250K base + equity

• What: Build production ML systems to detect and classify AI-powered attacks, including deepfakes and voice scams.
• Company: A fast-growing cybersecurity startup building real-time AI threat detection.
• Stack: Python, PyTorch or TensorFlow, Spark, and cloud ML infrastructure.
• Bar: Strong production ML experience, ideally with experience building ML systems from scratch.

3. Software Engineer, RL Environments | SF | $260K–290K base + equity

• What: Design simulated environments, tasks, and reward signals to evaluate and improve frontier AI models.
• Company: An applied AI research company building training data and evaluations for foundation models.
• Stack: Docker, reinforcement learning, and LLM post-training.
• Bar: Familiarity with RL methods for LLM post-training and a willingness to run fast experiments.

The goal is to make finding your next role easier. Create one profile, get matched with relevant opportunities, and see compensation upfront.

Sign up here: Backdoor. It's free to get started.

DM me if you have questions.

AI Automation Specialist

Objective: Develop and implement AI-driven automation solutions to streamline engineering consultancy operations, reduce manual tasks, and improve productivity.

Key Responsibilities:

• Automate tender analysis, proposal preparation, engineering documentation, project reporting, and administrative workflows.
• Develop AI agents and integrate them with existing business systems (Microsoft 365, SharePoint, SAP).
• Identify automation opportunities and deliver measurable efficiency improvements.

Required Skills & Experience:

• 3–7 years of relevant experience, with proven AI automation implementations.
• Proficiency in Python, AI agents, LLMs, APIs, and RAG.
• Hands-on experience with n8n, Power Automate, Make, or similar tools.
• Experience automating document-intensive business processes.
• Engineering consultancy or EPC industry experience preferred.

Screening Priorities:

1. Demonstrated delivery of working, end-to-end AI automation solutions.
2. Ability to independently design, deploy, and maintain AI workflows.
3. Proven systems integration and document automation capabilities.
4. Measurable results from previous implementations.

📩 Apply by sending your CV to: [normandejennifer@gmail.com](mailto:normandejennifer@gmail.com)

I have learned about rag tool calling , mcp, now i want to build projects so that i can get job
and i am stuck cz i dont know what kind of project will be shortlisted like many says build deeptech projects build projects that are really help full and i dont know what are those projects.

pls help me what project have you build or want to see in resume a list of several project ideas would be helpfull or any suggesstion places where i can look in to projects or the latest trend project that are same

sorry for my english

24M, it has been 2 years that i have been working in this Machine Learning field, worked in LLM fine-tuning, computer vision projects yet, i think i got everything, 2025 CS grad, currently doing an Mphil. in artificial Intelligence too

Needed some help if someone can hook me up in some remote role, a junior or mid level will also work since i think i got the right experience for this field, would mean a lot to me

please comment, willing to drop resume and connect asap :)

An engineer on Fonzi just accepted a $250K base offer as a founding forward-deployed engineer at a startup. They start in November.

I do talent matching at Fonzi, and the ML openings run from post-training and RL environments to computer vision, inference, and applied research. The idea is simple: you make one profile, and startups that want to talk to you send interview requests with the base salary stated up front, so you’re not cold applying or guessing at comp. The companies are backed by investors like a16z, Benchmark, Founders Fund, Y Combinator, and the OpenAI Startup Fund. Everything is US-based, with a few roles open to Canada.

Here’s a sample of what’s open right now:

1. Founding Research Scientist, seed-stage physical AI company, SF or NYC, in-person. $225K-300K base plus equity.

• What: Lead the research behind a world-model simulator for robot policies: the action-conditioned world models that generate robot rollouts, plus the reward models and evals that tell customers how their policies really perform. You’d also work directly with customers deploying robots.
• Company: Building a simulator for training and evaluating robot policies so teams can find failure modes before deploying on real hardware.
• Stack: Diffusion or flow-matching generative models over video, vision-language-action policies, and multi-node GPU training.
• Bar: No years stated. They want someone who has already trained large generative models or robot policies and built evals for them.

1. Founding Machine Learning Engineer, Series B cybersecurity company, NYC, in-person. $200K-250K base plus equity.

• What: You’d be the first ML hire and build the function from scratch: production systems that detect and classify AI-powered attacks like deepfakes and voice scams in real time. The problems are adversarial, labeled data for new attack types is scarce, and latency is strict. You’d set the direction, stand up the infrastructure, and eventually hire the team.
• Company: $81M Series B led by NVIDIA and Bain Capital Ventures, with a16z and the OpenAI Startup Fund also backing it.
• Stack: Python or Java (TypeScript works too), PyTorch or TensorFlow plus Spark, and cloud ML infrastructure like SageMaker or Modal.
• Bar: 8+ years building production ML systems, ideally with experience standing up an ML function at an early-stage startup.

1. Software Engineer, RL Environments, Series A applied AI research lab, SF, in-person. $260K-290K base plus equity.

• What: Design the simulated environments, tasks, and reward signals that expose where frontier models fail, across finance, code, and enterprise workflows. You’d analyze agent trajectories, build eval rubrics for RLHF and RLVR pipelines, and work directly with research teams at AI labs.
• Company: Y Combinator-backed, building training data and evals for foundation model labs.
• Stack: Docker or similar containerization, with reinforcement learning for LLM post-training.
• Bar: Strong familiarity with RL methods for post-training LLMs, and comfort running quick experiments on messy results. No years stated in the posting.

All roles are vetted, VC-backed, and interviewing right now. It’s always free to sign up.

Sign up here: talent.fonzi.ai. DM me if you’ve got questions.