Aquent

Data Annotator

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Annotator, contract until 31/12/2026, hybrid in London, paying £238.82 daily PAYE. Requires experience with AI dataset annotation, annotation tools (e.g., Label Studio), Python, and strong analytical skills. Bachelor's degree preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
232
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🗓️ - Date
January 13, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Greater London, England, United Kingdom
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🧠 - Skills detailed
#AI (Artificial Intelligence) #ML (Machine Learning) #Python #AWS (Amazon Web Services) #Data Processing #Data Science #Datasets #Spark (Apache Spark) #Cloud #Data Analysis #PySpark
Role description
We are looking for a Data Annotator / Data Analyst to support the development and evaluation of cutting-edge AI and machine learning solutions. This role is ideal for someone who enjoys working hands-on with data, has a strong eye for detail, and is excited to collaborate with data scientists and engineers to improve model performance. This is a contract until 31/12/2026 working hybrid 3 days on site in London paying £238.82 daily PAYE. You’ll play a key role in ensuring high-quality datasets that directly influence how intelligent systems learn and evolve. What you’ll be doing • Annotating and labelling datasets for a range of AI and machine learning use cases • Ensuring annotations are accurate, consistent, and aligned with defined guidelines • Analysing annotated data to identify patterns, issues, and opportunities for improvement • Collaborating closely with data scientists and ML engineers to refine annotation strategies • Using annotation tools (e.g. Label Studio or similar) to manage, review, and maintain datasets • Performing basic data processing and validation using Python and related technologies What we’re looking for • Bachelor’s degree (or equivalent experience) • Experience annotating datasets for AI or machine learning applications • Hands-on experience with annotation tools (e.g. Label Studio or similar platforms) • Excellent attention to detail and strong analytical skills • Ability to work independently while collaborating effectively in cross-functional teams • Some experience with Python is preferred • Experience with data processing technologies such as PySpark is a plus • Familiarity with AWS services and cloud-based data workflows is desirable Client Description: Our Client is a global leader in travel, driven by the core belief that travel is a positive force that enables people to build connections and experience the world. Their products and tech solutions also cover media solutions, affiliate marketing and corporate travel. Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.