Quality Analist - Data Annotator
Required Skills
Data Annotation
Job Description
Job Title: Data Annotator (Query Quality Analist)
Job Type: Contract (Full-Time or Part-Time)
Location: Remote
Job Summary:
Join our customer's team as a Data Annotator and play a pivotal role in elevating the effectiveness of search technologies. You will craft and apply rubrics to evaluate search result quality, contributing expertise that sharpens the campaign. If you excel in research-heavy environments and have a knack for analytical problem-solving, this dynamic, fully remote opportunity is for you.
Key Responsibilities:
- Develop, refine, and implement detailed rubrics for assessing the efficacy of search query results.
- Perform precise data annotation, labeling, and categorization.
- Analyze and rate search outputs based on established criteria, ensuring high standards of accuracy and relevance.
- Collaborate closely with fellow annotators and team leads to share feedback and enhance annotation protocols.
- Document findings and annotation processes with clear, concise written communication.
- Identify inconsistencies and suggest improvements for search result quality and annotation guidelines.
- Maintain a proactive approach to meeting targets and delivering quality outputs within set deadlines.
Required Skills and Qualifications:
- Familiarity with data annotation or research-intensive roles.
- Exceptional attention to detail and methodical work habits.
- Strong written and verbal communication skills—clarity and care in expression are a must.
- Proven expertise in navigating the web and evaluating online information sources.
- Ability to follow guidelines meticulously and adapt to evolving campaign requirements.
- Self-motivated and disciplined in a remote, asynchronous work environment.
- Comfortable leveraging digital tools for collaboration and documentation.
Preferred Qualifications:
- Background in sales, customer research, or other research-heavy functions.
- Prior experience working on data annotation for search or language model projects.
- Familiarity with search engine algorithms and evaluation metrics.