Armenian Linguistic Expert

$40/hr

rate as listed

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

Evaluate, annotate, and revise Armenian-language model outputs across translation, summarization, dialogue, and grammar tasks. The work calls for native or near-native Armenian, professional English fluency, and relevant experience in translation, editing, annotation, or NLP data work.

The work

You would review Armenian text generated by a large language model, judge its accuracy and naturalness, and edit or rewrite weak outputs. Assignments may cover translation, summarization, dialogue, and grammar correction, along with annotation of grammatical, syntactic, and semantic features.

What the screen is likely to test

Expect questions that require specific examples from Armenian translation, editing, linguistic annotation, or NLP data work. The screen may also probe how you distinguish grammatical correctness from natural usage, account for regional variation and register, identify subtle model errors, and turn those findings into consistent feedback for researchers. Native or near-native fluency in Armenian and professional fluency in English are expected. Interest in AI and LLM-driven language technologies is preferred but not required.

Working arrangement

The role is remote and involves collaboration with a distributed team. The listing does not specify whether all work is asynchronous, a fixed schedule, minimum weekly availability, project duration, or time-zone overlap, so candidates should be prepared to state their actual availability and clarify scheduling during the process.

Compensation

Pay band: $40/hr

What they look for

Native or near-native Armenian fluency, including grammar, syntax, and stylistics
Professional experience in Armenian translation, editing, linguistic annotation, or NLP data work
Knowledge of Armenian regional variation, register, nuance, and context-appropriate usage
Professional fluency in English
Ability to evaluate and document subtle linguistic errors in model-generated text
Experience collaborating in distributed, remote teams

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 verifies that your Armenian expertise has been applied in a relevant professional workflow rather than only used conversationally or academically.
A strong answer: Give one or two concrete projects, naming the task type, subject matter, approximate scope, quality process, and your individual responsibility. Clarify whether you translated, edited, annotated, adjudicated, or created guidelines.
Where people lose it: Candidates lose points by naming an employer or project without explaining what Armenian text they handled or how their output was reviewed.

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