Data Analyst
Posted 1 day ago by Harvey Nash
£27 Per hour
Undetermined
Hybrid
London, England, United Kingdom
Summary: The Data Analyst / Data Annotator role involves supporting the development and evaluation of AI and machine learning solutions through dataset annotation and quality assurance. The position requires collaboration with data scientists and engineers to enhance model performance. The role is hybrid, requiring 2 to 3 days in the office, and is contracted for over 12 months. Candidates should have relevant experience in data annotation and familiarity with programming and data processing technologies.
Key Responsibilities:
- Annotate and label datasets for various AI and machine learning use cases
- 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
Key Skills:
- 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)
- Some knowledge of programming languages such as Python is preferred
- Experience with data processing technologies such as PySpark is preferred
- Familiarity with AWS services and cloud-based data workflows is preferred
Salary (Rate): £27.00/hr
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Title: Data Analyst / Data Annotator
Location: Angel Building, The, 407 St John St, London EC1V 4EX, United Kingdom
Mode of working: Hybrid (2 to 3 Days in the Office)
Duration: 12+ Months contract.
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
- 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
- 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)
- Some knowledge of programming languages such as Python is preferred
- Experience with data processing technologies such as PySpark is preferred
- Familiarity with AWS services and cloud-based data workflows is preferred