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, currently an early career job seeker applying for Data Science ft and intern roles.
I've had about three live SQL interviews over the past year and I haven't passed a single one. I do SQL leetcode and online problems I find from statascratch pretty much everyday as part of a routine. I'd say I'm able to solve SQL mediums on leetcode pretty consistently. the main issue I run into is that the questions I run into in these interviews are patterns that I've never seen before and have literally no idea how to handle. Its really frustrating because I practice so much and I'm never able to perform in even basic internship interviews.
Does anyone have any good resources for learning a lot of the SQL patterns that interviewers actually use?? (I recently encountered a gaps and islands problem and I've literally never seen anything like it for example).
Thanks so much, have been struggling a lot and really would appreciate advice.
Hi everyone,
I'm looking for some honest advice from people working in recruitment, hiring, or data/AI careers in the UK.
I'm an international student who completed an MSc in Data Science in June 2026, and I'm currently looking for UK opportunities. I've been applying mainly for Graduate/Junior Data Scientist, Data Analyst and Data Engineer roles, but I'm getting a lot of rejections and very few opportunities to progress to interviews.
My background includes:
I'm tailoring my CV to individual job descriptions rather than sending exactly the same CV everywhere. I'm also trying to be realistic about the roles I apply for and focus on positions where my experience genuinely matches the requirements.
Despite this, I'm struggling to get through the initial CV screening stage.
I'd really appreciate honest advice on:
I'm not looking for generic advice like "apply to more jobs" or "network more." I'm trying to understand what is actually preventing me from getting shortlisted and what I can realistically change.
I'm also open to internships, placements, contract roles and other entry-level opportunities where I can gain UK commercial experience and demonstrate my capabilities. My priority at this stage is getting that first opportunity to prove myself in the UK market.
I'd especially appreciate perspectives from UK recruiters/hiring managers or international graduates who recently went through the same process.
Thanks in advance.
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.
i want to prepare for sr data scientist in MAANG companies. My background is in core ML, deeplearning, nlp etc.
I plan to target in around a year from now.
Does someone have any idea about the interview preparation or someone in these companies who would like to share some experience?
Interviewprep resource:
PracHub: Company specific interview questions
DataLemur: SQL Interview and Data Science Interview questions
StrataScratch: SQL and Python interview
Hi 👋
I recently started working in IT about 2 years ago. I am currently ATSE at a large crm firm. I am thinking of moving towards data engineering and data science roles. I am thinking of doing a masters course online to make this switch/pivot. Can you let me know if an ms/mtech would be helpful to male this change? Which courses will help me in this ? Would it be okay to do an online course instead of an online course campus degree ? I do not have a background in CS.
I would really appreciate your views and suggestions on this. Thanks.
I’m a 2026 CSE (AI/ML) new grad and have been unemployed since graduation. I’ve done an AI/ML internship, a remote Data Science fellowship, and several AI/ML and software projects throughout college. I’ve also been upskilling in Python, SQL, Statistics, Power BI, Excel, AWS, ML/AI, etc.
Despite all this, I’m struggling to even get interviews, and the few I do get often end in rejection. The growing employment gap is starting to worry me. I’m mainly applying for entry-level Data Analyst, Data Science and AI/ML roles.
For those who’ve been through something similar — what am I doing wrong? Resume, skills, projects, applications, interviews, or just the current market? I can also share my resume if anyone’s willing to take a look and point out anything that might be hurting my chances. Brutal advice is welcome.
I got an intern offer letter on data science and analytics.
What should i do because i am quality engineer with 2 years of experience also i have internship offer letter as a quality analyst.
I am a Data Scientist at one of the Consulting Firms. I have around 10yoexp and make in the 40-45lpa range. Been with this firm for over 2 years now.
I have a broad background in CV/NLP/GenAI, moving with the times, and have built considerable applications, some fairly advanced within GenAI, although only few around MCP, Agents.
I am trying to understand where to go from here for a higher pay/better ic opportunities and good wlb, and there seems to be limited options. I spoke with a few recruiters, but somehow no one is interested in offering upwards of 60lpa. One recruiter even suggested lowering expectations to the 50-55 range.
Plus the technical interviews, few that I've had have been bizarre. One ended up becoming a classical ML round, the other a live coding session where I had to implement a few functions in a RAG pipeline and make few improvements. I bombed both one early on and another one 2 stages in. I think I am in a deep comfort zone and have no idea how to climb out of it.
Meanwhile I see people getting pretty good offers. I know preparation and opportunity must meet at the right time. But I am also not getting a good grasp of this plot this time.
I'm trying to understand where to place my expectations for interviews, role expectations, pay and most importantly what I should prepare for going ahead.
I am feeling frustrated. What does the community think? How do I get to higher paying jobs in the data science scene right now? What are interviewers looking for?
Looking at remote worldwide for the past 7 days.
Here are the jobs I found, organized by level:
Entry Level:
Senior:
Manager:
Director and Above:
Quick notes:
Hope this helps someone! Let me know if you want me to keep posting these weekly.
-- 👋 Hi, I'm Jay. I built Job-Halo.com, a system that tracks remote data science jobs and sends alerts the moment they're posted, based on your preferences.
Hi, anybody here who works at idfc or has interviewed there, could you pls share your experience regarding the interview process and also compensation range for 1+ yoe considering my ctc is 14 lpa currently with 11 base
I particularly want to know how many rounds will be there. What type of questions do they ask generally? Will there be live coding round? How long is their notice period for data science role? Is hybrid mode of work available?
It will help me prepare accordingly
The most current job postings, sourced only from company career pages. No reposts, no sponsored placement, no ads. Clicking Apply takes you directly to the application on the company's site. Free, no signup.
Around 250 companies and 55,000 US listings so far, refreshed daily.
Coverage has gaps - a lot of companies aren't in yet. If you search your employer or a company of interest and get nothing, that's why.
Hi everyone,
I’ve been navigating the job market for Data Analyst and Data Science roles for the past 8 months. While I’ve had some traction—including an upcoming interview for an AI-focused role—I want to make sure I’m optimizing every part of my job search strategy. I’m reaching out to this community to get some constructive feedback, hear your market insights, and expand my network.
What I bring to the table:
Tech Stack: Python, SQL, and industry-standard data visualization tools.
Core Strengths: Data manipulation, statistical analysis, and transforming raw data into clear business intelligence.
Value Add: Building predictive models, analyzing performance metrics, and delivering actionable insights that drive growth.
I’m continuously upskilling and tailoring my approach, but I know there is always room to improve.
Here is what I’m looking for from the community:
A Resume Roast: I’ve linked an anonymized version of my resume in the comments. I’d love brutally honest feedback. What’s missing? Are my bullet points impactful enough? What would make you skip my resume?
Market Insights: How is the hiring market looking from the inside right now? For those who recently landed a role, were there specific portfolio projects or networking tactics that finally helped you break through?
Networking & Referrals: I am eager to hit the ground running. If your team is currently hiring for Data Analyst, BI, or Data Science roles and you’re open to connecting, I’d love to chat and see if my skills align with your needs.
hello, I just got reached out about scheduling a first round 45 minute interview for a data scientist associate position at JPMorgan. it doesn't mention in this email yet who will be attending the interview, seems like only the recruiter is in the thread.
what can I expect for this call - is it mostly behavioral or should I expect technical questions as well? or if anyone has general insights about the hiring process for associate data scientist roles that'd be great. thank you!
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
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
If you find this useful, an upvote helps it reach more people looking for legit remote sites.
Heyy, I made a list of recent Data Science jobs for you all!
Staff Data Scientist, EGRI @ LinkedIn
Data Scientist @ Domino's
Quantitative Analytics Specialist (002164) @ B Wells Fargo Bank, N. A.
Manager Data Science @ Dexcom
Senior Biostatistician @ PPG NL ProPharma Group The Netherlands B.V
Data Scientist (Mid-level - Principal) @ AEP Service Corporation
Data Scientist New College Grad - Masters Degree (Santa Clara, CA) @ Applied Materials, Inc
Mid-Level Data Scientist | TS/SCI @ Xcellent Technology Solutions
Machine Learning Research Engineer @ Bright Vision Technologies
Analytics Scientist I @ Catalent
Insights Principal @ Tinuiti
Staff Data Scientist @ PayPal
Senior Consultant - Life Sciences Data & Analytics @ US Guidehouse Inc.
Sr. Machine Learning Engineer @ AppFolio
Lead, Data Science Internal Audit @ AbbVie
Data Scientist – AI & Predictive Analytics @ Western Digital
Principal Statistician @ PSI CRO
Applied Genetics Scientist - Pipeline Data Science @ Syngenta Group
Operational Data Scientist @ Dematic Logistics de Mexico S. de R.L. de C.V. (ILD-MEX-LOG)
Machine Learning Intern @ CLI Cambium Learning, Inc.
Assoc. Dir , D&A Strategy @ MSD Ireland (Ballydine)
Lead Data Scientist, Cat Digital @ Caterpillar Inc.
Machine Learning Engineer II @ MARKIT INDIA SERVICES PRIVATE LIMITED
Sr. Data Scientist @ Canada Workday ULC
Data Scientist-Mid @ GD Information Technology, Inc.
Exploitation Specialist (Data Scientist) @ Geo Owl
Data Scientist @ Fifth Third Bank, National Association
Principal Biostatistician @ Edwards Lifesciences LLC
Lead Advanced Analytics @ AT&T
Senior Data Scientist – Generative AI @ Humana
Data Scientist, Mid @ Booz Allen Hamilton_United States
Imagery Scientist (SAR) @ LEIDOS INNOVATIONS UK LTD.
Advanced Analytics Consultant - NMPH - Remote within US @ MDU Medtronic USA Inc
Sr Data Scientist Commercial Analytics - Corporate @ MGM Resorts International Operations, Inc.
Quantitative Analytics Professional A @ Freddie Mac
Decision Science Analyst Senior @ United Services Automobile Asn
Staff Data Scientist, @ -India SEZ
Data Scientist @ IND Thomson Reuters International Services Private Limited
Lead Data Scientist @ Royal Bank of Canada
Staff Machine Learning Scientist – Personalization (Open to Remote) @ Bertelsmann-Jobs
Psychometrician @ Center for Applied Linguistics
Associate Analytics Director @ M&C Saatchi Group
Data Scientist @ Shipt, Inc.
Senior Research Analyst @ University of Chicago
Senior Staff Machine Learning Engineer @ Etsy Mexico, S. de R.L. de C.V.
Principal Data Scientist @ NC Health Affiliates LLC DBA Blue Cross NC
Data Scientist I @ Mastercard
Scientist, Data Science @ IN AstraZeneca India Pvt Ltd Company
Like the post if I should keep doing more of these, Cheers!
I am looking to hire 2 Data Scientist for a communications company right outside of New York City. Unfortunately at this time they aren’t able to sponsor visas so only GC or USC can apply. They will offer relocation assistance as well! Please let me know if you are interested!
Finding it really difficult to find a data analyst internship for summer 2027. If anyone has any help or advice I’d greatly appreciate it. I’m to start a data science masters soon and already have the CompTIa + certification.
Looking at remote worldwide for the past 7 days.
Here are the jobs I found, organized by level:
Entry Level:
Senior:
Manager:
Director and Above:
Quick notes:
Hope this helps someone! Let me know if you want me to keep posting these weekly.
-- 👋 Hi, I'm Jay. I built Job-Halo.com, a system that tracks remote data science jobs and sends alerts the moment they're posted, based on your preferences.