Data Annotator

Data Annotator Rate: £218.78 per day (PAYE) Duration - Till end of the year Location: London Are you passionate about data quality and excited by the impact of AI and machine learning? We are looking for a Data Annotator to play a key role in building and improving intelligent systems that power real-world applications. This is an excellent opportunity to work at the intersection of data, analytics, and AI, collaborating closely with data scientists and machine learning engineers to ensure models are trained on high-quality, reliable datasets. What You’ll Be Doing • Accurately annotate and label datasets for a variety of AI and machine learning use cases • Follow detailed annotation guidelines to ensure consistency, precision, and high data quality • Review and validate annotated data to identify errors, trends, and improvement opportunities • Analyze annotation outputs to provide insights that enhance model performance • Work closely with data scientists and ML engineers to refine annotation approaches and strategies • Use industry-standard annotation tools such as Label Studio or similar platforms • Perform basic data processing, checks, and validation using Python What We’re Looking For • Bachelor’s degree in a relevant discipline • 2+ years of experience annotating datasets for AI or machine learning problems • Hands-on experience with annotation tools (e.g. Label Studio or similar) Mandatory • Strong attention to detail with excellent analytical and problem-solving skills • Ability to work independently while collaborating effectively with cross-functional teams • Basic working knowledge of Python for data handling and validation Nice to Have • Experience with big data or processing technologies such as PySpark • Familiarity with AWS and cloud-based data workflows • Exposure to large-scale datasets and production AI environments Why Apply? • Competitive £218.78 per day PAYE rate • Opportunity to contribute directly to cutting-edge AI and machine learning solutions • Collaborative, technical environment with exposure to real-world data challenges • Ideal role for someone looking to deepen their experience in AI-driven data work