The role involves gathering business requirements, managing data annotation processes, ensuring data quality, and collaborating with technical teams for ML model training.
As a Business Analyst & Data Annotator, you will play a crucial role in gathering and analyzing business requirements, acting as a bridge between stakeholder needs and technical teams. You will also handle the data annotation process, ensuring the production of high-quality, accurately labeled datasets necessary for training machine learning models.
This role involves close collaboration with ML engineers, data scientists, and business teams to ensure that data aligns with project goals. Your work will center on translating complex business needs and technical specifications into clear instructions, managing data labeling workflows, and maintaining data quality standards.
Responsibilities:
- Develop and implement detailed guidelines and instructions for data labeling and annotation to ensure consistency and accuracy across datasets;
- Review and validate labeled data, providing constructive feedback to annotation teams to improve data quality and adherence to project standards;
- Collaborate with data scientists and ML engineers to prepare, organize, and support the creation of high-quality annotated datasets for model training;
- Manage the annotation workflow, prioritize tasks, and track progress to ensure timely delivery of labeled data;
- Maintain high standards of data privacy, security, and compliance throughout all annotation processes;
- Gather and analyze business requirements, workflows, and terminology to understand data needs and improve annotation processes;
- Facilitate communication between technical teams and stakeholders by translating complex technical or domain-specific language into clear, accessible instructions and explanations;
- Offer insights into business processes that could benefit from automation or ML solutions, supporting the design and implementation of such projects;
- Support continuous improvement of data annotation guidelines, workflows, and overall business analysis practices to enhance efficiency and data quality.
Requirements:
- At least 1 year of experience in the relevant role;
- Excellent English language skills (B2 level or higher, ideally C1), especially when working with reports containing complex terminology;
- Strong analytical skills and an understanding of business workflows;
- Attention to detail and ability to create clear instructions and guidelines for annotation teams;
- Understanding of data privacy, security standards, and compliance requirements.
Nice to Have:
- Basic knowledge of machine learning concepts and data management principles;
- Familiarity with ML workflows, data pipelines, and MLOps tools;
- Experience with cloud platforms such as AWS, GCP, or Azure;
- Experience with data labeling or annotation;
- Experience in creating markups for AI;
- Insurance industry background.
Top Skills
AWS
Azure
GCP
Machine Learning
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
The Strategic Account Executive manages key accounts, driving sales activities and ensuring customer success while collaborating with various teams for product adoption and feedback.
Top Skills:
Application Lifecycle ManagementGitSoftware Development Tools
Cloud • Security • Software • Cybersecurity • Automation
As a Distribution Engineer, facilitate build pipelines, maintain existing services, ensure compliance, manage dependencies, and collaborate on package creation and documentation.
Top Skills:
AutotoolsAWSAzureCmakeContainer ImagesGccGCPGithub ActionGitlab CiGnu/LinuxGoGrafanaJenkinsMakePrometheusPythonRubyRustTravis
Cloud • Security • Software • Cybersecurity • Automation
Manage and grow the SMB region's business, drive sales, mentor teams, and implement engagement strategies for customer success while utilizing performance metrics and leadership skills.
Top Skills:
Agile PlanningCdCiDevsecopsGitlabScm
What you need to know about the Belfast Tech Scene
If asked to name the birthplace of the RMS Titanic, you might not say Belfast. Similarly, if asked to name Europe's leading destination for foreign direct investment in new software development, Belfast might not come to mind. Yet, both are true. The city has emerged as a tech powerhouse, recently ranked among the best in the U.K. for tech careers — especially for software developers. It also leads the U.K. with the highest percentage of software development jobs advertised.
