Hindi Linguistic Expert

$40/hr

rate as listed

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

Evaluate, edit and annotate Hindi text used to assess and improve large language models. The work covers translation, summarization, dialogue, grammar correction and culturally appropriate Hindi usage.

The work

You will review Hindi generated by a large language model, identify linguistic failures and produce corrected or rewritten versions. Tasks may cover translation, summarization, dialogue and grammar correction, as well as annotation of grammatical, syntactic and semantic features. Feedback should explain errors clearly enough for AI researchers to use it in model evaluation and training.

What Mercor screens for

The screen is likely to test native or near-native fluency in Hindi, including grammar, syntax, stylistics, regional variation, register and context-appropriate usage. Candidates should also be able to discuss specific professional work in Hindi translation, editing, linguistic annotation or NLP data, and explain how they distinguish a genuine model error from an acceptable language variant. Professional fluency in English is required. Interest in AI and LLM-driven language technologies is preferred, not required.

Practical details

The role is remote and suited to people who have worked effectively in distributed teams. The listing does not specify whether scheduling is fully asynchronous, a minimum weekly commitment or typical working hours, so candidates should be ready to state their availability and time zone clearly during screening.

Pay band: $40/hr

What they look for

Native or near-native Hindi fluency, including grammar, syntax and stylistics
Professional experience in Hindi translation, editing, linguistic annotation or NLP data work
Knowledge of Hindi regional variation, register and context-appropriate usage
Professional fluency in English
Ability to evaluate and explain subtle errors in model-generated Hindi
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 checks whether your experience involves substantive Hindi translation, editing, annotation or NLP data work rather than informal language use.
A strong answer: Give one or two verifiable projects, naming the task type, subject matter, volume or duration, quality standard and your individual responsibilities. Distinguish clearly between translating, reviewing, annotating and managing others' work.
Where people lose it: Candidates lose points by describing an employer or team project without specifying which Hindi outputs they personally produced or evaluated.

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