TalentBurst
Content Evaluator Job at TalentBurst in San Francisco
TalentBurst, San Francisco, CA, United States, 94199
Overview
Role: Content Evaluator
Location: REMOTE
Duration: 6 months plus extensions
Description
- As a relevance evaluator for Dash you will be responsible for evaluating how relevance a given document (or image, video) is for a particular user query.
- You will have to rate the document relevance 1-5 (from not relevant at all to exactly what the user was looking for).
- Rating relevance requires first trying to understand the user intent, for example, where they researching a topic, or they were looking for their own document, and forming an opinion what would be a good document (or image, etc.) for this particular query for this particular user.
- Other similar tasks involve evaluating quality of Dash assistant answers, including various aspects of the answer: is it correct (the information answers the user intent correctly), is it descriptive, or is the system apologizing for not knowing the answer. Understanding correctness also requires some research on the terminology used.
Responsibilities
- Responsibility includes reviewing the query and document pairs, including any context provided by the system (such as when the query was issued and who did it), researching the problem trying to understand the user intent by using the product (Dash assistant and search, including formulating queries for elastic search index in KQL), and then rating the document or other required artifact (e.g. assistant answer) according to the provided relevance rubric.
Requirements
- Ability to formulate search or chatgpt-like queries
Preferred Qualifications
- No engineering experience is required, but being able to script certain tasks in Python can be beneficial.
- Previous experience with relevance labeling or rating would be preferable.