My paper “From Double to Triple Burden: Gender Stratification in the Latin American Data Annotation Gig Economy” is now on arXiv! Check it out. #AIGovernance #DigitalLabor #GenderStudies #arXiv https://t.co/BPHcZaST0Q

It's challenging to maintain data quality while preserving variation in data labels! We find that spam filtering for data annotation removes annotators who disagree instead of actual spammers, distorting data label distributions. 📄 https://t.co/ccwyvArvqV

New preprint on automated cell type annotation. The study introduces CyteType, a multi-agent framework that uses expression data and self-evaluation to reduce errors and hallucinations seen in LLM-based tools. It outperforms current methods in accuracy and reliability. Super cool

Full Genome Annotation and Visualization in <1 minute! Upload a FASTA and see how SeqHub enriches your data with HMMs and other functional annotations. Annotate a genome → https://t.co/QXdOb1Olbb

5 Data Annotation Myths: Avoid AI Project Failure Uncover how labeling mistakes can derail AI success & learn why quality data is key to powerful ML models. Read more 👇 https://t.co/WtzlcwNLEl #DataAnnotation #DataLabeling #AI #ML #ArtificialIntelligence #USA #Uk

I'll present our #EMNLP2025 HCI+NLP Workshop paper on Nov. 9, 14:45–15:30 session virtually From Noise to Nuance: Enriching Subjective Data Annotation through Qualitative Analysis https://t.co/gekMuZq4tI My co-author @jiegaogianna will be there in person Please talk to her! (1/4)

What steps will you take for AI's future? Perle Labs turns human expertise into a transparent asset with fair rewards; your contribution is recorded on the blockchain. Which actions will you take: annotation, data verification, content moderation? 🤔 #PerleLabs #Blockchain

Here are roles shaping AI from the inside: → Language Analysts → Context Reviewers → Quality Leads → Data Curators → Annotation Trainers These are the unseen architects of AI behavior. If the model is the house, These are the engineers of the foundation.

Perle Labs has partnered with several enterprise AI firms to pilot its on‑chain data‑labeling workflow, reporting a 25 % reduction in labeling latency and a 15 % increase in annotation accuracy compared with traditional cloud‑based pipelines @PerleLabs

5 Most Effective Ways to Label Data for ML Projects Learn how effective data annotation techniques can enhance your ML projects. Read more: https://t.co/4m6jIu3gie #mlmodeldevelopment #datalabeling #datalabelingstrategy #dataannotationtechniques #dataannotationservices

New ways to visualize + navigate your sequence data Filter and explore your annotation results to better understand your genome. Add your own notes, links, or experimental data to centralize your work. Try it → https://t.co/QXdOb1OT0J

📢 Magaret Ekerendu, Data Annotation Specialist at Otaku.Hugo, will give a talk on Building a Culture of Ethical Collaboration: InnerSource in Data Annotation for the online leg of the #InnerSourceSummit2025! 👉Join us online on Nov. 13th! Register: https://t.co/JFyoHpfzst

LLM has become a big part of our lives, simplifying content generation to visual creation. #Data_annotation plays a key role in efficient and accurate labeled data. 💼 💡 Get into detail about how data annotation improves LLM. 🌐 To Know more: https://t.co/CDT36uwN1V

Outsource Data Annotation Services: Driving Accuracy and Efficiency: Over 70% of AI failures can be traced back to poor data annotation, highlighting the critical importance of precise,… https://t.co/iu7mEsWoKg #DataAnnotation #AI #MachineLearning #DataQuality #TechInnovation

Here’s my October dump • Completed 2 data reports • Explored Power Automate to streamline workflows ⚙️ • Learnt Image Annotation for an urgent project 🔍 • Attended #AgentConLagos and connected with amazing data professionals 🤝 • Set up my YouTube channel 🎥

Fraction AI @FractionAI_xyz is the first platform to fully gamify and decentralize the model improvement process. Instead of manual data annotation or centralized retraining, @FractionAI_xyz uses competition and rewards to guide agent evolution.

let’s talk about a project I’ve been researching on Project: @PerleLabs building a Web3native AI training and data annotation platform powered by human expertise. •Founders: Led by Ahmed Rashad (ex-Scale AI) alongside a team of former Meta, MIT, and Berkeley engineers.

“Training data you can trust, at the speed you need” @PerleLabs are in the data-annotation / human-in-the-loop business, supporting AI model training. 👇

We're launching out of YC! Fixpoint helps companies hire human experts for AI data annotation. It's a big pain to source and vet the right experts. We automate this process so our customers can focus just on creating training data and evals. https://t.co/15BzP4rTtN