![[Hiring] [Remote] [Worldwide] - Mid/Senior AI Cinematic Video Editor at EverAI (💸 $30k - $100k)](https://external-preview.redd.it/tBSeCP1TWbIO7yG_8Y1RWCmFcImNKoR18_1BbDitKg0.jpeg?width=1080&crop=smart&auto=webp&s=1cdcfc7f9465c172b23087f7e5c48c0606db9a7e)
EverAI is hiring a remote Mid/Senior AI Cinematic Video Editor. Category: All others 💸Salary: $30k - $100k 📍Location: Remote (Worldwide)
Title: Looking for Data Analyst Opportunities – Fresher | India
Hi everyone! 👋
I’m a fresher actively looking for Data Analyst / Junior Data Analyst / Business Analyst opportunities in India.
I have hands-on experience with:
📊 Excel
🐍 Python
🗄️ SQL
📈 Power BI
🔍 Data Cleaning & EDA
📉 Data Visualization & Reporting
I’m currently building projects to strengthen my practical analytics skills and would love to start my career in a data-driven organization.
I’m open to full-time, internship, hybrid, or remote opportunities, especially in Delhi NCR / Noida / Gurgaon, but I’m also open to opportunities across India.
If your company is hiring freshers or if you know of any relevant openings, I’d really appreciate a referral or lead. 🙏
Resume: Available on request.
Thank you! Any advice, referral, or opportunity would mean a lot. ❤️
Comparing https://resume.zoevera.com against https://chatgpt.com
And what a purpose-built ATS checker caught that GPT-4 didn’t.
Let me be upfront: I use ChatGPT for everything. Code reviews, draft emails, explaining stack traces at 2am. It’s genuinely useful. So when I needed to tailor my resume for a senior backend role, my first instinct was to open a chat window.
That was three weeks ago. Here’s what I learned.
What ChatGPT actually does well
Ask ChatGPT to “improve my resume” and it will:
For general writing quality, it’s genuinely good. If your resume reads like it was written by someone who hasn’t slept in 48 hours, ChatGPT will fix that.
What ChatGPT fundamentally cannot do
Here’s the problem: ChatGPT doesn’t know what job you’re applying for.
You can paste the job description into the prompt, sure. But there’s no mechanism for it to:
ATS filters work on keyword frequency and placement. A resume that reads beautifully to a human can score 40% on an ATS if the right terms aren’t in the right sections. ChatGPT optimizes for human readers. ATS systems are not human readers.
I ran a test. Same resume, same job description (Backend Engineer, Node.js/AWS stack). I gave ChatGPT the full JD and asked it to optimize my resume for ATS.
The output was well-written. It added “microservices” and “REST APIs” in a few places. But it missed:
When I ran the same resume through resume.zoevera.com, it flagged all three gaps explicitly, with section-level attribution. The ATS match score went from 54% to 81% after applying the suggested changes.
The core difference: diagnostic vs. generative
ChatGPT is a generative tool. It produces new text. It’s very good at that.
An ATS checker is a diagnostic tool first. It measures the gap between your resume and a specific job description, then tells you exactly what’s missing. The rewrite comes second — and it’s grounded in what was actually identified as absent, not what the model thinks sounds better.
This distinction matters because:
ChatGPT hallucinates improvements. It will add metrics you never achieved (“improved system performance by 35%”), use terminology that
sounds right but wasn’t in the JD, and rewrite bullets that didn’t need rewriting while leaving critical gaps untouched. Every line needsfact-checking.
A purpose-built tool works from the actual gap. The keywords it adds are the ones the JD asked for. The sections it flags are the ones the ATS will score. The output is closer to submission-ready.
A practical workflow
These tools aren’t mutually exclusive. The best result I got came from using both in sequence:
The ATS checker handles precision. ChatGPT handles prose quality. Neither does both well alone.
The cost argument
ChatGPT Plus is $20/month. If you’re actively job searching, that’s a fixed overhead whether you use it or not.
Most people search for jobs in windows — a few weeks of active applications, then nothing for months. A per-session model makes more
sense: pay when you need it, nothing when you don’t. ZoeVera’s pricing works that way — free analysis, one-time payment for the full
rewrite, no subscription.
For a developer audience specifically: if you’re applying to 10–15 roles over two weeks, you’re not optimizing resumes 365 days a year. The math on a monthly subscription doesn’t work.
What I’d actually recommend
The ATS doesn’t know what you meant. It only knows what you wrote.
Tested against a real Backend Engineer job description. Tools used: ChatGPT GPT-4o, https://resume.zoevera.com. June 2026.
The last few months I found it annoying finding the right AI training/annotating jobs with a decent acceptance rate. Long story short, I made my own website that only lists legit listings with good acceptance rates. Any feedback would be appreciated!: https://aiannotationjobs.com
Hi everyone,
I’m a B.Tech student in AI & Data Science (2023–2027) actively looking for a research-focused internship in AI / ML, especially around LLMs, RAG pipelines, and model fine-tuning.
I don’t have formal industry experience yet — but I do have hands-on research and systems-building experience, and I’m more interested in learning deeply and contributing to real research than chasing buzzwords.
What I’m genuinely interested in
LLMs & VLMs (fine-tuning, evaluation, failure modes)
Retrieval-Augmented Generation (RAG), document intelligence
Multimodal models (vision–language, audio–text)
Research-oriented engineering (experiments, ablations, benchmarks)
What I’ve worked on
Primary author on a research paper accepted at an international conference (vision–language assistive system)
Fine-tuned Salesforce BLIP on a custom dataset for real-time assistive navigation
Built CNN–RNN hybrid models for speech emotion recognition (92%+ accuracy)
Worked on time-series modeling (LSTM + CNN) for scientific data (NASA Space Apps)
Built RAG-style pipelines and transformer-based NLP systems for large-scale text analysis
Tech stack Python, PyTorch, TensorFlow, Hugging Face, LangChain, CNNs/RNNs/Transformers, RAG, FastAPI, PySpark, basic cloud (AWS/GCP)
I’m not claiming to be an expert. I am someone who:
Reads papers instead of just tutorials
Enjoys debugging models more than demos
Wants mentorship and real research exposure
Is willing to work hard, learn fast, and contribute seriously
If you’re a researcher, startup founder, PhD student, or team working on LLMs / applied AI research and open to mentoring an intern — I’d genuinely love to connect.
Resume / GitHub / LinkedIn available on request. Thanks for reading.
i have 20+ projects in total across various stacks, as i was freelancing, people gave me all kinds of work, from design to serverless inference
i don't know how recruiters will react to freelance. never done a job except internship
i haven’t applied anywhere yet — i want the resume to be solid first
should I apply for 0 Year of experience
i have one major project still to add in core ml: Govt freelance. i still need to write a case study
I am working on a CNN model training, but now I am confused, should I use monitor = "val_loss" or "val_accuracy"?
Is is advisable to do a 6 months certificate course on AI/ ML from IIT Kharagpur ?
I know IIT Kharagpur has very good reputation in India. But i am currently looking for jobs in UK market, Will this course help ?
Hello everyone,
I’m a recent 2026 graduate from a Tier-3 college, and getting good placement opportunities has been really difficult. Because of that, I decided to pursue the online **BS in Data Science and Applications from IIT Madras** alongside my career journey, mainly because I wanted to learn from strong professors and also explore better opportunities through the program.
Over the past year, I’ve spent most of my time seriously learning and building my skills. I’ve worked through the fundamentals of **Machine Learning, mathematics, statistics, Python, and data science**, and then moved into **Deep Learning with PyTorch**. More recently, I’ve been learning **Generative AI, Transformers, RAG, LangChain, and related LLM technologies**.
I genuinely enjoy AI/ML and have been trying to build my career in this field.
However, because of my family situation, pursuing a full-time Master’s degree isn’t financially practical for me right now. I need to start earning and support my family.
Recently, I received an opportunity as a **Software QA/Automation Engineer**. The role comes with around 6 months of training/internship followed by FTE, but there is also a **2.6-year bond**. I accepted the offer because, at that point, I didn’t really have another option and I needed a job.
But after joining, I’ve started questioning whether I’m moving in the right direction. My long-term goal is AI/ML, and I’m worried that spending the next few years in a testing/automation role will make it even harder for me to transition into AI/ML later.
I’ve reached out to many people on LinkedIn asking for advice, guidance, or opportunities, but unfortunately I haven’t been able to find much help so far.
I’m seriously looking for a way to transition into **AI/ML/Data Science/GenAI roles**, even if it means starting from an entry-level position and proving myself through my work.
If anyone here is:
Hiring freshers for AI/ML, Data Science, or GenAI roles
Willing to provide a referral
Has successfully transitioned from QA/automation/software roles into AI/ML
Can guide me on what skills or technologies I should focus on
Can suggest good projects, open-source contributions, internships, or platforms where I can gain real-world experience
…I would genuinely appreciate your advice.
I’m not looking for shortcuts. I’m willing to put in the work and learn whatever is required. I just need some direction and hopefully an opportunity to prove myself.
If you’ve read this far, **thank you sincerely**. Even a small piece of advice, a referral, or pointing me in the right direction could make a huge difference for me right now. 🥹
Thank you everyone.
Hey everyone,
I’m fairly new to GitHub and trying to understand what the standard git workflow actually looks like in practice.
When building a project from scratch, what is considered the best practice for making commits?
For those working in industry or reviewing student/junior portfolios, what does a clean, believable commit history look like, and what are the major red flags to avoid?
Any tips on commit frequency, structuring commit messages, and good Git hygiene would be massively appreciated!
micro1 is hiring Game Developers (Engine Specialists) to build simulation environments for AI systems.
Requirements:
What you’ll do:
Details:
APPLY HERE - https://jobs.micro1.ai/post/game-developers-engine-specialists
Sign up and complete the AI interview to be considered. Shortlisted candidates will be contacted within a few days.
If you're a game engine expert who wants to push into AI and simulation, this role is built for you.
Important: micro1 is looking to fill this role urgently.
(Disclosure: Shared as part of the micro1 referral program)
A major AI research organization is currently looking for Generalist Evaluators to support projects involving AI-generated audio, transcription quality reviews, and language model evaluation. This is a remote opportunity for individuals who are detail-oriented and interested in helping improve cutting-edge artificial intelligence systems.
Position: Generalist
Compensation: Approximately $50–$100 per hour (depending on project and qualifications)
Location: Remote — open to applicants located in the United States, Canada, the United Kingdom, and eligible countries within the European Union
Time Commitment: Flexible, typically between 10 and 40 hours per week
Evaluators may be asked to review AI outputs, assess transcription accuracy, analyze responses generated by language models, and provide feedback that helps improve system performance.
If you’d like more information or would like the application link, please click below:
Looking for ML / Data Analytics Internship
Hi everyone! I’m currently looking for an ML or Data Analytics internship opportunity.
I’m open to internship roles where I can work on real-world projects, learn from experienced professionals, and contribute to the team.
If you know of any openings or can refer me to someone hiring, I’d really appreciate it. Please feel free to DM me.
Thanks! 🙏
I graduated in April 2026 and was looking for jobs , but most of them were teaching jobs which I'm not interested at all , i want to make a career in ml , but i don't have relevant skills and i also read somewhere that they usually hire mostly Phd's for such roles . I haven't done a single internship during my bachelor's or my masters . I know I'm lacking , but i really want land my first job in ml related role . i know some python and libraries (mostly numpy , pandas , matplotlib ) . What skills should i know ? , what kind of projects should i do to stand out ? and what kind of internships should i look for to get into this field ? . PLEASE RECOMMED ME BOOKS AND COURSES WHICH HELPED U GET A JOB AND OTHER SUGGESTIONS AND ADVICES ARE WELCOMED ! Thankyou for you're time <3
I'm 21 and i dont have a degree and based in algeria I started from literally zero Python this year. Been at it full time since. I don't have anyone around me doing this so I genuinely can't tell if where i am standing .
What I've built:
A few CV projects. Scene classification, got it to 93% with ResNet18 after starting at 81% with a basic CNN. Moth species classifier at 98.4% with transfer learning. Two YOLOv8 detection projects, and on the weld defect one I ran three experiments trying to fix the accuracy before figuring out the real problem was the classes overlapping in how I annotated them, not anything about the model. Both classifiers are deployed as FastAPI endpoints. Here is my github : https://github.com/zanexkun
Tabular stuff, a freight rate prediction take home I did for a company (MAE $106.92, R² 0.83), and I just finished a salary prediction project on the LinkedIn postings dataset. That one was 11 separate tables joined by IDs and honestly it wrecked me for a while. Ended up cleaning it down to 28k rows, ~1260 features with TF-IDF on the titles and descriptions, tuned LightGBM to MAE $17.8k and R² 0.743.
Repo here: https://github.com/zanexkun/job-posting-analyzer
What I know I'm missing: SQL (starting this week), Docker, anything MLOps, transformers, and I've never touched DSA.
Here's my actual problem though. I've barely applied anywhere. Every junior posting I open either wants a degree, or 2 to 3 years experience, or lists a stack where I have maybe half of it. So I keep closing the tab. And freelance ML seems to be either people with 60 reviews or clients offering $50 to "build an AI", nothing in between.
So I want to know:
Is what I have actually junior level or am I overrating it?
If you're outside the US or EU with no degree, is remote work actually possible, or is the whole "remote but only in these countries" thing a wall you can't get past? Should I just be going for contract work instead?
Am I supposed to apply when I don't meet half the requirements or is that just wasting everyone's time?
And if you were me, what's the one thing you'd do next?
I'd rather someone tell me I'm not ready and why than get told good job.
LaunchDarkly is hiring for a Staff Engineer in their Experimentation Team.
Build the experimentation statistical engine - hypothesis testing, sequential analysis, variance reduction (CUPED, Winsorization), power analysis.
Candidate should have experience with adaptive experimentation ML - contextual bandits, Thompson sampling, Bayesian optimization, or RL‑based allocation.
Tech Stack: Go, Python, AWS/GCP, Snowflake, Databricks, IaC
Apply: https://aihackerjobs.com/company/launchdarkly/job/19209
[closed] spots filled, thanks everyone
Planning to attend the Ray / vLLM Summit in SF and looking to split the 5-person group pack ($750 total, covers Aug 24–26 including the 8/24 training day).
Drop a comment or DM me if you’d like to join!
https://www.anyscale.com/ray-summit/2026
The training session :
(Select only 1 session for the morning and afternoon)
* Morning:
Multimodal Data Processing Pipelines for AI Systems
Foundation Model Distributed Training with Ray
Production-ready Distributed Inference with Ray Serve
* Afternoon:
Scaling Physical AI & Robotics Systems with Ray
Real-Time Search & Recommendation Systems for AI Commerce
LLM Post-Training and High-Performance Serving
I graduated in 2023 with a degree in Mechanical Engineering and have some experience in procurement and supply chain. During my bachelor's, taking a course in machine learning sparked my interest in Computer Science, which led me to prepare for and clear the national entrance exam for M.Tech admissions. Luckily, I scored well enough to secure a CSE seat at a Tier-2 college starting this year.
Coming from a core engineering background, my coding experience is minimal. I understand Data Structures and Algorithms conceptually, but I have not written or implemented actual code yet. My main area of interest is AI/ML.
Given that my resume currently lacks relevant CS projects and practical coding experience, I want to start building a strong portfolio for upcoming campus placements and off-campus applications.
i seek guidance on DSA, AI/ML Project and Resume building.
This list has been created to help remote job seekers avoid encountering scam posts about roles & gigs that aren’t worth their time or skills.
These are not immediate-payment opportunities. Selection can take weeks, and landing a quality project may take months.
Most roles require domain expertise, tech skills, or previous experience with AI.
The platforms in this list have been curated based on:
Most of these platforms follow a rigorous selection process, which may include:
Personal Recommendations:
Mercor - https://www.mercor.com/
• Work - AI-related contracts
• Skill level - Medium → Advanced
• Pay - $50 - $350/hr
• Payout - Bank transfer (Stripe Connect)
• Notes - AI interview screening, Contract-based AI Data training projects
micro1 - https://www.micro1.ai/
• Work - AI, domain expertise & data roles
• Skill level - Medium → Advanced
• Pay - $30 - $200/hr
• Payout - Bank transfer (Deel)
• Notes - Selective hiring, mostly Long-term AI training contracts
After Query - https://experts.afterquery.com/
• Work - AI domain expertise
• Skill level - Medium → Expert → Advanced
• Pay - $20 - $250/hr
• Payout - Bank transfer (Stripe Connect)
• Notes - Best for domain experts (Finance, Tech)
SME Careers - https://sme.careers/
• Work - Subject Matter Experts
• Skill level - Medium → Expert
• Pay - $20 - $120/hr
• Payout - Bank transfer (Deel)
• Notes - Best for domain experts (Finance, Tech, Engineering, Linguist)
Vetto AI - https://work.vetto.ai/
• Work - AI training, domain expert tasks (health, travel, wellness)
• Skill level - Intermediate → Expert
• Pay - $10 - $100/hr
• Payout - Bank transfer (Rippling)
• Notes - Focus on non-tech experts, flexible project-based work, early-stage platform
Ethos - https://www.askethos.com/
• Work - Expert calls, market research & data annotation
• Skill level - Medium → Advanced
• Pay - $50+/hr
• Payout - Bank transfer
• Notes - Early stage, so call volume may be low.
Braintrust - https://www.usebraintrust.com/
• Work - Freelance AI, software & data jobs
• Skill level - Medium → Expert
• Pay - Varies by client
• Payout - Crypto
• Notes - Web3-based AI & tech talent network
Turing - https://www.turing.com/
• Work - Remote software dev, AI training, data & LLM roles
• Skill level - Intermediate → Expert
• Pay - $30 - $200/hr (some roles higher)
• Payout - Bank transfer (Deel)
• Notes - AI-powered matching, strong vetting, project-based work with global clients
Outlier - https://app.outlier.ai/
• Work - AI data tasks, Annotation
• Skill level - Beginner → Medium
• Pay - $5 - $30/hr
• Payout - PayPal
• Notes - Project-based
DataAnnotation - https://www.dataannotation.tech/
• Work - LLM training, AI text & reasoning
• Skill level - Medium
• Pay - $20 - $60/hr
• Payout - PayPal
• Notes - Assessment required, work availability varies
Alignerr - https://www.app.alignerr.com/
• Work - LLM training & AI evaluation
• Skill level: Medium → Expert
• Pay - $40 - $150/hr
• Payout - Stripe/Wise
• Notes - Selective onboarding, project-based work
Important notes
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