Generalist - Greek Speaker

$20–45/hr

rate as listed

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

Review, annotate and compare Greek-language conversations and extended responses for accuracy, intent and contextual fit. This remote contractor role also involves documenting ambiguities and applying project guidelines through annotation tools.

Day-to-day work

You will annotate and categorize Greek linguistic data, compare long multi-turn conversations or responses side by side, and assess clarity, coherence, accuracy and intent. Tasks also include flagging inconsistencies, ambiguities and errors, documenting the reasoning behind decisions, and submitting work through project annotation tools.

What the screen is likely to assess

The platform will look for precise examples of language-related work, reliable command of Greek nuance, and the ability to make consistent judgments from detailed guidelines. Expect follow-up questions about register, ambiguous wording, context across long conversations and how you would choose between two imperfect responses. Prior AI experience is not required, while experience in data annotation, linguistic analysis or similar language projects is preferred.

Language profile

The listing states a preference for native or near-native fluency in both written and spoken Greek. Strong proficiency in written and spoken English, including the ability to interpret complex texts, is also preferred. A bachelor’s degree in any field or equivalent practical experience is preferred rather than stated as a mandatory credential.

Logistics

This is a remote contractor engagement. The listing does not specify whether scheduling is fully asynchronous, the expected weekly commitment or typical working hours, so candidates should be ready to confirm availability and any response-time requirements during screening. Pay band: $20–45/hr

What they look for

Data Annotation
Fluency in Green Language
Critical Thinking

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 the candidate can provide a verifiable account of relevant work, including the data type, task definitions, tools, volume and quality checks.
A strong answer: A strong answer identifies a specific project, the candidate’s own responsibilities, the type and scale of the material, the annotation criteria and how disagreements or errors were handled. If there is no formal annotation experience, it should connect an equivalent language-review task to the duties in this role without overstating it.
Where people lose it: Candidates lose points by saying they have reviewed or annotated content without naming the deliverable, decision categories, workflow or quality standard.

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