Fred Annotation

Description:  

Natural Language (NL) Annotators will analyze and annotate user utterances by converting them into structured representations of intent. 

Purpose: 

These annotations enable AI systems to accurately understand and respond to user requests, ultimately improving the system’s performance and reliability. 

Main Requirements: 

• Must be a native speaker of target language (see list) 

• Commitment to complete the onboarding and training process required to participate in this project, noting that the resource pool is limited due to confidentiality requirements.  

• Availability to contribute 30–50 hours per month, ensuring tasks are completed within the expected timelines.  

• Consistent delivery of work that meets predefined quality standards, metrics, and turnaround times (TPT).  

• Ability to identify, analyze, and escalate anomalies, trends, or recurring issues within assigned tasks.  

• Proactive and clear communication with the Project Manager regarding progress, priorities, and potential risks.  

• Strict adherence to all project guidelines, specifications, and procedures across assigned tasks.  

• Access to a macOS system (e.g., MacBook, iMac, Mac mini, or equivalent) 

Other Requirements: 

• Academic background in Linguistics, Philology, Translation, or related field. 

• At least 1 year of experience working on annotation or data labeling projects. 

• Strong technical curiosity and experience working across different technical tools or environments. 

• Proven ability to identify, troubleshoot, and resolve issues of varying complexity.