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- Talks & Talks Technologies Ltd
Interviews todayIT Technician2 days ago£10–£12 hourlyPart-timeSloughThis role is focused on manual quality assurance testing of AI-generated outputs to evaluate the accuracy, context, grammar, fluency, and pronunciation supported language. You will work closely with the R&D team and AI engineers who are building the models, offering direct feedback and test results that shape the final product. This is a high-impact role that ensures our models meet linguistic standards and serve real users accurately and naturally. 🔹 Key Responsibilities · Check if the AI speaks and writes correctly in different languages, accents, and regions. · Make sure the AI sounds natural and uses the right grammar, tone, and local expressions. · Report mistakes in the AI’s language output, including unclear pronunciation or wrong words. · Work closely with the AI team to improve how well the AI understands and speaks different languages. · Test the AI’s results manually or using tools, and keep clear records of what works and what doesn’t. · Give feedback on how user-friendly the AI is for people from different cultures and backgrounds. · Ensure the AI treats all languages and cultures fairly and follows privacy rules. · Review translated text and voice outputs to see if they make sense in your native language. · Point out common language mistakes and help fix them. · Recheck results after the AI is updated to make sure issues are resolved. · Attend discussions with the AI team to share your language knowledge. · Help build examples and tests to train and measure the AI's language skills. · Fill out feedback forms and track progress on errors and fixes. · Stick to timelines and guidelines shared by the QA or project manager. 🔹 Required Qualifications · Native speaker of the target language (fluency in speaking, reading, and writing) · Good command of English for translation comparison and documentation · Strong understanding of grammar, cultural nuances, idiomatic usage, and slang in the native language · Prior experience in language QA, proofreading, translation review, or content moderation is preferred · Familiarity with Google Sheets, Word, or QA tracking tools 🔹 Preferred Skills · Basic knowledge of AI/ML or translation systems · Experience in speech/audio evaluation tools (Audacity, Praat, etc.) is a plus · Comfortable working with R&D or technical teams · Organized, detail-oriented, and proactive in raising issues
Immediate start!No experienceEasy apply - Career Change
Data Science Placement Programme5 days ago£25000–£45000 yearlyFull-timeSloughTrainee Data Scientist - No Experience Required Are you looking to kick-start a new career as a Data Scientist? We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.
Immediate start!No experienceEasy apply
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