Australian English Linguistic Expert

$40/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: Worldwide
Field: Languages

Evaluate, annotate and refine LLM-generated content for grammatical accuracy, naturalness and cultural fit in Australian English. The work also involves documenting model errors and producing linguistic feedback for AI researchers.

The work

You will review LLM outputs across translation, summarization, dialogue and grammar-correction tasks. Day to day, this can include rewriting unnatural passages, annotating grammatical, syntactic and semantic features, identifying recurring model failures and explaining how an output should change to meet Australian linguistic and cultural standards.

What the screen assesses

Mercor is looking for native or near-native fluency in Australian English and professional experience in translation, editing, linguistic annotation or NLP data work in English. Screening is likely to test your command of grammar, syntax and stylistics, plus your ability to distinguish Australian English usage from American and British English. Interest in AI and LLM-driven language technologies is preferred but not required.

Practical details

The role is designed for distributed, remote work and requires clear written feedback for researchers and other collaborators. The listing does not specify whether the workflow is fully async, the expected weekly commitment or typical working hours.

Pay band: $40/hr

What they look for

Native or near-native fluency in Australian English
Professional translation, editing, linguistic annotation or NLP data experience
Australian English grammar, syntax and stylistics
Knowledge of regional variation, register and context-appropriate usage
Grammatical, syntactic and semantic text annotation
Detailed analysis of LLM errors and unnatural phrasing

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This tests whether your experience includes the specific text-level evaluation or production work named in the listing, rather than general writing or language study.
A strong answer: Give one or two verifiable projects, naming the task type, your responsibilities, the volume or duration of the work and the standards used to review quality. Distinguish clearly between editing, annotation, translation and model-evaluation duties.
Where people lose it: Candidates lose points by describing themselves as strong writers without identifying a professional workflow, concrete deliverables or any quality-control process.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.