Arabic Linguistic Expert

$40/hr

rate as listed

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

Evaluate, annotate, and improve Arabic text produced or used to train large language models. The work covers translation, summarization, dialogue, grammar correction, regional variation, and culturally appropriate usage.

The work

You will review LLM-generated Arabic across translation, summarization, dialogue, and grammar-correction tasks. Day-to-day assignments may include rewriting unnatural output, annotating grammatical, syntactic, and semantic features, identifying recurring model gaps, and documenting recommendations for AI researchers.

What the screening emphasizes

Mercor is looking for native or near-native fluency in Arabic, including command of grammar, syntax, stylistics, register, regional variation, and context-appropriate usage. Professional fluency in English is also expected. The screen is likely to test whether you can identify subtle errors, explain why an Arabic output fails, and apply consistent evaluation standards rather than relying on preference alone.

Relevant experience

Candidates should have professional experience in Arabic translation, editing, linguistic annotation, or NLP data work. Interest in AI and LLM-driven language technologies is preferred but not required, so direct model-evaluation experience may help but is not presented as a prerequisite.

Logistics

The work is remote and distributed. Whether assignments are fully asynchronous and the typical weekly hours are not disclosed, so candidates should be prepared to state their actual availability and any scheduling constraints. Pay band: $40/hr

What they look for

Native or near-native Arabic fluency
Professional fluency in English
Arabic translation, editing, linguistic annotation, or NLP data experience
Arabic grammar, syntax, semantics, and stylistics
Regional variation, register, and cultural-context judgment
Detailed linguistic error analysis

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 establishes whether your Arabic expertise has been applied in accountable professional work and clarifies which of the listed task types you have actually performed.
A strong answer: Give specific roles or projects, the Arabic content involved, your responsibilities, and how quality was reviewed or measured. Distinguish direct annotation or evaluation work from general translation experience.
Where people lose it: Candidates lose points by saying they have worked with Arabic content without identifying deliverables, review standards, or their personal contribution.

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