Gibbs Hybrid

Data Annotator Analyst – AI / Machine Learning – Expedia Group

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Annotator Analyst focused on AI/Machine Learning, based in London (hybrid). It offers £223.18/day for a contract lasting until the end of 2026. Requires 2+ years of dataset annotation experience and familiarity with Python and annotation tools.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
223
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🗓️ - Date
January 8, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Python #Programming #Data Quality #Data Science #Spark (Apache Spark) #PySpark #ML (Machine Learning) #Datasets #Data Processing #Data Analysis #Cloud #AI (Artificial Intelligence)
Role description
Data Annotator Analyst – AI / Machine Learning – Expedia Group Location: London (hybrid working) Duration: End of 2026 Pay: £223.18/day About the Role We are looking for a Data Annotator / Data Analyst to support the development and evaluation of AI and machine learning solutions. In this role, you will be responsible for annotating datasets, ensuring data quality, and collaborating with data scientists and engineers to improve model performance. Key Responsibilities • Annotate and label datasets for various AI and machine learning use cases • Ensure high-quality, consistent, and accurate annotations following defined guidelines • Analyze annotated data to identify patterns, issues, and opportunities for improvement • Work closely with data scientists and ML engineers to refine annotation strategies • Use annotation tools (e.g., Label Studio or similar) to manage and review datasets • Perform basic data processing and validation using Python and related technologies Qualifications • Bachelor’s degree • 2+ years of experience annotating datasets for AI or machine learning problems • Hands-on experience with annotation tools (e.g., Label Studio or similar platforms) • Strong attention to detail and analytical skills • Ability to work independently and collaborate within cross-functional teams • Some knowledge of programming languages such as Python (preferred) • Experience with data processing technologies such as PySpark (preferred) • Familiarity with AWS services and cloud-based data workflows (preferred)