Good with detail? Turn it into flexible remote work AI learns to read documents from examples that people label by hand. Every form, every field, every checkbox a model gets right in the real world traces back to someone who marked it correctly first.
Fred Annotation
Remote (Global)
February 10, 2026
Job description
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.
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