https://community.rws.com/community-hub/resources/rws-services-train-ai-others/trainai/en-USTelligent Community 12 Non-Productionhttps://community.rws.com/community-hub/resources/rws-services-train-ai-others/trainai/w/faqMon, 17 Jun 2024 08:53:00 GMT10acfa76-f078-475b-a7ef-fc5b3e8d2934:87301baf-697e-4d53-a808-2faa5b3e0ee5Frequently Asked Questions about TrainAI Communityhttps://community.rws.com/community-hub/resources/rws-services-train-ai-others/trainai/w/faq/6807/train-ai-supportMon, 17 Jun 2024 08:53:00 GMT10acfa76-f078-475b-a7ef-fc5b3e8d2934:d90cbf43-8ac1-4e32-b871-eb16c9233d14Georgiana IancuDo you have an inquiry related to your Train AI collaboration? Depending on what type of issue you have, here are some ways you can get help: If you are a TrainAI vendor and have an enquiry related to Workzone please reach out to: TF_resourcing@rws.com . For the subject of the email, please use the following format : “TrainAI projects – (Your locale/native language) – (brief description of the issue)” If you are a freelancer and have an enquiry related to Workzone please contact your talent manager. You received this info when you registered. If none of the above applies, please post your question in https://www.facebook.com/TrainAICommunitytrain ai supportWorkzonehttps://community.rws.com/community-hub/resources/rws-services-train-ai-others/trainai/w/faqMon, 17 Jun 2024 08:09:00 GMT10acfa76-f078-475b-a7ef-fc5b3e8d2934:ee4a4f56-8b4b-4f44-a1d3-b3511adde430Georgiana IancuWelcome to the Train AI FAQ. Here, you’ll discover answers to the most frequently asked questions from the Train AI Community. Check the subcategories below to find out what is Train AI Community, how you can join join or what kind of training or experience is required for joining. About Train AI Recruiting process Train AI Supporthttps://community.rws.com/community-hub/resources/rws-services-train-ai-others/trainai/w/faq/6806/about-train-aiMon, 17 Jun 2024 07:40:00 GMT10acfa76-f078-475b-a7ef-fc5b3e8d2934:71076671-ada1-463b-a549-4b435a1aeaf4Georgiana IancuWhat is TrainAI? Offers data collection, annotation (labelling) and validation services for all types of AI training data, in any language, at any scale, based on the principles of responsible AI. Provides text, audio, image, video, multilingual and synthetic data to train a broad range of AI applications from search and virtual assistants, to facial recognition, voice control, content moderation systems and more. Delivers responsible AI training data that clients can depend on. TrainAI data is ethically sourced, accurate, fair and inclusive, based on a privacy- and security-first approach, and built on human-in-the-loop methodologies. Data meets required quality standards, eliminating the need for data to be redone and the AI retrained at additional cost. Who is TrainAI for? TrainAI is a service built for organizations of any size which are aiming to improve their user experience, efficiency, or general capabilities by deploying artificial intelligence, namely machine learning. Teams of AI researchers, ML engineers, Product Owners or Data Scientists will sooner or later run into a lack of high-quality AI training data for specific domains or languages, and partnering with RWS by using TrainAI services is their best way of bridging this gap, whether they need data collected, annotated or validated. What does a typical request for TrainAI look like? In the last several years, the AI data services space has exploded in size and application potential, which has led to new and exciting areas for data annotation and collection. Our clients are often looking to acquire datasets from underrepresented languages to build AI models that better support the next billion users of technology, but the requests can also involve the most commonly used languages of today – in which case the difficulty often lies in collecting a very specific type of data (e.g. commands for a voice assistant, speech recorded with various emotions, bilingual requests, etc.). For data annotation requests, our clients are often looking for transcriptions from audio or images, and annotations of entities in natural text or various types of data classification projects which could include all content types. However, many of the partnerships we have established are with R&D groups who are working on cutting-edge research, which may involve experimental approaches to machine learning – and especially in these cases, every single request tends to be unique. What is the TrainAI Community? The TrainAI Community includes the following resources: Description Total Raters, Annotators and Linguists (In-House and Freelance) 40,958 AOP Connect Researchers 43,000 Partner Network Resources (based on conservative assumption of 10 resources per 2,000+ vendor partners) 20,000+ Total Size of the TrainAI Community 103,958+ How are TrainAI Community members sourced? TrainAI Community members are recruited using the following tools/strategies on a project-by-project basis: Job postings on: Local job websites LinkedIn Recruiter Social media posts (with a visual and hashtags) on: Official RWS social media channels RWS employee personal profiles Relevant LinkedIn and Facebook groups Articles published in our vendor newsletter, ‘Stay Tuned’ RWS Campus Referrals The TrainAI VRM team is currently working on setting up a recruiting campaign that will run on a continuous basis to grow our TrainAI Community. How are TrainAI Community members vetted? TrainAI Community members are evaluated by completing: Background information about themselves, their skills, interests and hobbies, language proficiency, the types of services they can provide based on their educational background and industry experience, desired pay rate etc. Language knowledge tests to establish their language level(s) General machine learning tests which evaluate attention to detail, critical thinking and performance on typical data annotation tasks Additional tests based on project-specific requirements A member’s test results then determine the AI data projects/tasks they will be invited to work on. Additional verification may be completed based on client requirements. How are TrainAI Community members trained? TrainAI engagements often vary from client to client, and therefore require project-specific training and testing. TrainAI Community members receive project-specific training facilitated by the TrainAI production team, in which they are required to pass several training rounds to be able to start work on a project. On moderated data collection or data annotation projects, a project manager also works with each project participant to ensure compliance with scenario, instructions, training, etc. How much are TrainAI Community members paid? TrainAI Community members are compensated fairly based on: Applicable in-country minimum wage, inflation rate, member skills, as well as desired pay Annual reviews which consider economic factors Transparent payment terms that are clearly outlined during registration Regular and timely payments How do you set pay rates for the TrainAI Community? Pay rates for members of our TrainAI Community are set based on in-country: Minimum wage Average salary Cost of living Inflation rate Member skills Member’s desired pay Annual reviews which consider economic factors How is the TrainAI Community different from other providers? Unlike crowdsourcing i.e. using anyone for the job and hoping for the best, TrainAI only selects the vetted, qualified and skilled resources best suited to meet the specific needs of each AI data project. RWS’s TrainAI Community consists of 100,000+ participants who are: Vetted, skilled and qualified raters, annotators and linguists Proficient in 400+ language variants covering 175+ countries Supported by RWS’ global footprint What type of contract do members of the TrainAI Community have in place? TrainAI Community members can work with us as freelancers or as private individuals, and as such are not bound by a contract but can work whenever they like. However, the relationship with RWS is regulated by our T&Cs and an NDA. What data protection is in place? TrainAI is built on RWS’s privacy- and security-first approach: Privacy: Benchmarks for data protection: EU General Data Protection Regulation (GDPR) and UK Data Protection Act 2018 Focused on protection of Confidential Business Information (CBI) and Personally Identifiable Information (PII) Transparency in data collection / management Compliance with country-specific policies on the use of biometric data Security: NIST Cybersecurity Framework Information Security Management System (ISMS) Multi-factor authentication (MFA) ‘Defence in depth’ security controls Risk management Physical security Incident management How do you define / what is TrainAI’s approach to responsible AI? There are slightly varying definitions of what is responsible AI, but to summarize, responsible AI is: Ethical, accountable and transparent Fair and unbiased Accurate and reliable Private and secure Responsible AI models need responsible AI data – this is where RWS TrainAI comes in. TrainAI data is prepared in accordance with the principles of responsible AI as shown in the following table. Responsible AI is: TrainAI Data is: Ethical, accountable, and transparent d Fair and unbiased Accurate, inclusive, and targeted Accurate and reliable Built on human-in-the-loop methodologies Private and secure Based on a privacy- and security-first approach How do you ensure responsible AI / remove bias / provide trusted data? TrainAI deploys the processes below to ensure the AI data we provide to clients is responsible: SmartSourcing: Ethical recruitment and fair compensation Pairing the right people with the right skills to the right projects Custom program setup tailored to specific project needs to ensure we prepare the targeted data required to train the client’s AI Bias detection and removal at every stage of the project including review of the following: o Team composition o Exploitability o Demographics o Language variants o Task design o Incentive system o Representation o Annotation ontology o Class imbalance o Usage of protected classes A combination of human-in-the-loop and automated quality assessments to ensure data accuracy and quality: Human review – annotation manually checked by an expert Consensus review – the same data point is annotated multiple times and annotations are compared Golden dataset – annotation is compared to a data point with a known answer TrainAI data meets or exceeds quality targets – done right the first time or we’ll fix it. Privacy and security measures in accordance with RWS company policieshttps://community.rws.com/community-hub/resources/rws-services-train-ai-others/trainai/w/faq/6805/recruiting-processMon, 17 Jun 2024 07:37:00 GMT10acfa76-f078-475b-a7ef-fc5b3e8d2934:3f1635a9-adac-4b92-8cc3-c8dc10958656Georgiana IancuHow to start? Thanks for your interest in joining the TrainAI Community. To start an application or view open jobs, please visit: https://hubs.ly/Q02hFFph0 . We hope to see you soon! How do I join the TrainAI community? To get started, click here , then click on the option which best describes you based on the descriptions provided – “Private Individual”, “Sole Proprietor / Freelancer”, or “Company / Corporation” – and complete the Sign Up form. Our recruiting team will then reach out about next steps. How can I talk to someone/ask questions about my application? Thanks for reaching out! For questions about your application, please send a message to AICommunity@rws.com . They should be able to assist you. We appreciate your patience, as we receive many messages each day and will respond to yours as quickly as possible. Thanks and good luck to you! What type of work can I do as an AI data specialist in the community? As an AI data specialist, you’ll have the opportunity to work as an Online Rater, Data Collector, Data Annotator, Search Engine Evaluator, Ad Evaluator, or on other project-specific opportunities to help train AI. Below are just a few examples of the types of tasks you’ll have the opportunity to work on and get paid: Evaluating and providing feedback on search query results and online ads Data collection or generation of text, audio, image, or video data Data dialogue generation including voice recordings, recorded conversations with moderators, and more Data annotation / labelling / tagging to help AI understand the data (training will be provided) Optical character recognition support by typing the text you see in an image And much more Is there any fee that must be paid to join the community? There is no fee required to join the TrainAI community. We will never ask for any payments from you of any kind. What kind of training or experience is required to join and start working? There is no training or experience required to join the community. Once you’ve joined the community, you will be invited to work on the AI projects for which you are best suited. You will also be provided with the opportunity to complete training and testing to gain access to even more opportunities. What is the minimum age required to join the community? The minimum age required to join the community is 18. Once I’ve joined the TrainAI community, how can I apply for jobs? Once you complete the sign-up process, you will routinely receive invitations to participate in projects for which you are well suited via email. How much can I earn as a member of the community? We pay per task completed, therefore as a member of our community, your earning potential is based on the number of tasks you complete. There are no limits to the number of projects you can work on or the number of tasks you can complete. Task payments may vary by project based on the time required to complete the task – payment details will be communicated to you in advance. How would I be paid? Payments are sent via PayPal or directly to your bank account. During registration, you will have the opportunity to select your preferred payment method. What kind of equipment or software do I need to do jobs or tasks? You will require a personal computer running Windows or Mac OS X operating system, high-speed internet access (cable modem, DSL, etc.), email service (Outlook, Gmail, or any other), and the latest version of Google Chrome. Does RWS provide the equipment and software required to complete tasks? We do not provide the equipment and software required to complete tasks. How can I be sure TrainAI community webpages or emails are official? Official TrainAI community webpages and emails will always originate from the following domains: rws.com (RWS) moravia.com (RWS Moravia) You can hover over links on a webpage or an email to check whether the link domains match those provided above.https://community.rws.com/community-hub/resources/rws-services-train-ai-others/trainai/Wed, 12 Jun 2024 10:53:00 GMT10acfa76-f078-475b-a7ef-fc5b3e8d2934:6a170df8-8f37-4e51-b8c6-ff5738228638