About The Position

We are sourcing independent Language Alignment & Resource Partners (LARPs) to provide native-level language vetting and QA for a specialized AI data project. As AI systems strive to reflect real-world usage and deliver human-like communication, their accuracy depends entirely on rigorous linguistic and cultural consultation. The objective of this project is to evaluate, annotate, and validate data to ensure high-quality outputs that are fully natural, polished, and free from bias. Project Deliverables & Scope Operate autonomously to provide linguistic QA and develop alignment resources. Expected deliverables include: Data Annotation & Review: Reviewing, annotating, and testing AI outputs for grammatical accuracy, naturalness, and strict cultural context. Quality Assurance & Vetting: Acting as a primary quality check during production to proactively identify and correct subtle cultural errors or awkward phrasing in the target language. Resource Generation: Analyzing task quality trends and autonomously developing educational resources and feedback documentation to increase alignment between AI task outputs and campaign expectations. Production & Vetting Support: Providing native-level language vetting during project scaling and offering specialized linguistic consultation throughout the production phase. Required Expertise To successfully fulfill the deliverables of this project, Contractors must possess a meticulous eye for language and cultural nuance.

Requirements

  • Demonstrable work or educational experience in linguistics, education, or other fields requiring high attention to linguistic detail.
  • Prior, tangible experience working in human data evaluation or annotation.
  • Verified English language proficiency of C1 or C2
  • The ability to confidently transform raw feedback and quality trends into structured, actionable educational resources.
  • A meticulous approach to language, with the sharpness to identify and correct even the most subtle unnatural phrasing in their native tongue.

Responsibilities

  • Data Annotation & Review: Reviewing, annotating, and testing AI outputs for grammatical accuracy, naturalness, and strict cultural context.
  • Quality Assurance & Vetting: Acting as a primary quality check during production to proactively identify and correct subtle cultural errors or awkward phrasing in the target language.
  • Resource Generation: Analyzing task quality trends and autonomously developing educational resources and feedback documentation to increase alignment between AI task outputs and campaign expectations.
  • Production & Vetting Support: Providing native-level language vetting during project scaling and offering specialized linguistic consultation throughout the production phase.
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