Turkish Linguistic Experts

$50/hr

rate as listed

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

Evaluate and improve Turkish-language output from large language models across translation, summarization, dialogue and grammar tasks. The work combines linguistic review, rewriting, annotation and detailed analysis of model errors.

The work

You will assess Turkish text generated by an LLM for accuracy, fluency, grammar, syntax, style and cultural appropriateness. Day-to-day tasks may include reviewing translations and summaries, correcting dialogue, rewriting unnatural passages, annotating grammatical or semantic features and documenting recurring model failures.

What the screening focuses on

Mercor is looking for native or near-native fluency in Turkish and professional experience in Turkish translation, editing, linguistic annotation or NLP data work. Screening is likely to test whether you can explain subtle errors precisely, distinguish acceptable variation from genuine mistakes and turn an evaluation into feedback that AI researchers can use.

Working arrangements

The project is remote and suited to candidates who have worked in distributed teams. The listing does not specify a weekly hour range, fixed schedule or whether all work is asynchronous, so candidates should be ready to state their actual availability and clarify scheduling expectations during screening.

Pay band: $50/hr

What they look for

Native or near-native fluency in Turkish
Professional Turkish translation, editing, linguistic annotation or NLP data experience
Advanced knowledge of Turkish grammar, syntax and stylistics
Ability to evaluate regional variation and context-appropriate usage
Linguistic error analysis and actionable written feedback
Experience working 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 establishes whether your Turkish expertise has been applied in accountable production work and whether your examples match the tasks in this project.
A strong answer: Give specific projects, your responsibilities, the type and volume of text involved, and how quality was reviewed. Separate work you performed directly from work you supervised or supported.
Where people lose it: Candidates lose points by naming broad job titles without describing any Turkish-language deliverables, review process or personal contribution.

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