About Appen Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video. Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together. At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are seeking Annotator to join an onsite team responsible for producing high-quality labeled data across multiple content types. This is an entry-level position ideal for individuals who are detail oriented, enjoy structured processes, and are comfortable working with text, audio, video, and multimodal inputs. No previous experience is required. If you’re good at repetitive tasks, learn fast, and have strong attention to detail, even if you are a student or someone seeking your first job, we encourage you to apply. Key Responsibilities Perform data annotation following detailed guidelines, schemas, and quality standards. Participate in structured training sessions, calibration exercises, and regular quality reviews. Complete self-reviews and peer reviews to ensure accuracy and consistency. Provide constructive feedback to help refine annotation guidelines. Participate in ad hoc data collection activities. Collaborate closely with the Annotation Coordinator and team members to meet project timelines and deliverables. Qualifications Previous annotation experience is beneficial but not required. Strong attention to detail and ability to follow structured processes. Comfortable working with various content types (text, audio, video, multimodal). Willingness to participate in both live and recorded data collection scenarios. Ability to work onsite fulltime at the client location in Cambridge. Work Details & Requirements 3 months Fixed Term Contract: (extendable based on performance and project requirements). Work schedule - Regular working schedule, 8 hour shift per day Onsite, 5 days per week at client location Strong commitment to data accuracy, quality, and efficiency. Effective written and verbal communication skills. Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.