AI Fraud Review Specialist

Join to apply for the AI Fraud Review Specialist role at RWS Group . We are seeking a proactive and detail‑oriented AI Fraud Review Specialist to ensure the integrity and security of Train AI’s global crowd and rater programs. In this role, you will leverage various platforms and AI‑driven solutions to identify, analyze, and mitigate fraudulent activity, safeguarding our distributed workforce and helping support our quality management teams. The ideal candidate combines strong problem‑solving abilities with expertise in fraud prevention, risk management, or security, and thrives in a fast‑paced, large‑scale environment. You will collaborate across multiple teams to maintain compliance, reinforce trust, and uphold the quality of program operations. This role will help reinforce trust in our programs, aiding the delivery of trustworthy data to our customers. About RWS Generate We help our customers Generate better content in any language and scale. We provide a wealth of services including localization, data services, testing, video, consulting and much more. Our global team of localization and technical experts work closely with customers building lasting partnerships that help make their products and services reach and resonate with their end users. It is a fast‑paced and exciting business with many opportunities to work on state‑of‑the‑art products and services for some of the world’s most innovative businesses. About Train AI Data Services, as part of our Generate Training or fine‑tuning artificial intelligence (AI) requires data. LOTS of data. However, not just any data will do – our clients need responsible AI data that’s targeted, accurate and reliable to ensure machine learning (ML) success. But preparing AI training data is a monumental task that can take up the vast majority of AI project time, leaving AI teams with precious little time to focus on developing, deploying and evaluating ML models. TrainAI by RWS helps our clients address this challenge head‑on. With a seamless blend of technological understanding and human intelligence, TrainAI provides complete, end‑to‑end data collection and content generation, data annotation or labelling, human‑in‑the‑loop data validation and generative AI data services for all types of AI, in any language, at any scale, based on the principles of responsible AI. Today, TrainAI supports four of the world’s top five technology companies, enhancing the performance of their generative AI applications by providing services such as prompt engineering, response refinement and red teaming with locale‑specific domain experts across a broad range of topic areas and educational levels. Visit rws.com/trainAI to learn more. Key Responsibilities Conduct in‑depth reviews to identify and/or confirm any instances of fraudulent activity within our global workforce. Document specific patterns identified and maintain a proactive fraud detection process across all locales and programs for Train AI. Recommend corrective or preventive actions to help reduce quality impacts related to fraudulent activity. Evaluate emerging threats and industry trends to anticipate risks and continuously improve security measures. Support audits and/or compliance initiatives related to security and fraud prevention. Help educate internal teams on specific insights gained during reviews. Possibly assist with onboarding fraud checks for larger time‑sensitive ramps. Skills & Experience Bachelor’s degree in Security, Risk Management, IT, Business Administration, Statistics, Data Analytics, Education, or related field (or equivalent experience). Experience in security, fraud prevention, risk management, quality management, or related roles. Experience in distributed workforce, BPO, AI or Machine Learning, or large‑scale digital program environments is highly desirable. Very good communication skills & high attention to detail. Good at problem‑solving and offering proactive solutions. Ability to collaborate, remotely, to help solve day‑to‑day tasks. Ability to manipulate data, with skills in Excel/Google Spreadsheet, required; Advanced skills in Excel/Google Spreadsheet preferred. Willingness to learn and pursue continued training in industry trends and fraud detection methods. Fluent English – you will be working as a part of an international team and English is our work language. Knowledge of other languages is not needed but welcome. Life at RWS If you like the idea of working with smart people who are passionate about growing the value of ideas, data and content by making sure organizations are understood, then you’ll love life at RWS. Our purpose is to unlock global understanding. This means our work fundamentally recognizes the value of every language and culture. So, we celebrate difference, we are inclusive and believe that diversity makes us strong. We want every employee to grow as an individual and excel in their career. In return, we expect all our people to live by the values that unite us: to partner , putting clients fist and winning together, to pioneer , innovating fearlessly and leading with vision and courage, to progress , aiming high and growing through actions and to deliver , owning the outcome and building trust with our colleagues and clients. RWS embraces DEI and promotes equal opportunity. We are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements, and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics. Recruitment Agencies RWS Holdings PLC does not accept agency resumes. Please do not forward any unsolicited resumes to any RWS employees. Any unsolicited resume received will be treated as the property of RWS and Terms & Conditions associated with the use of such resume will be considered null and void. #J-18808-Ljbffr