Turkish Linguist Expert (Remote) | Sigma AI - Sigma Group

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Stellenbeschreibung:

Company Overview

Sigma.AI is a leading global technology company specializing in data collection and annotation for Artificial Intelligence. With over 30 years of experience, offices in Spain, the US, and the UK, and operations in more than 700 languages, we support top multinational clients in developing cutting‑edge AI solutions.

Position

Role: Linguist – the position focuses on linguistic data annotation and validation across multiple media formats.

Key Responsibilities

  • Annotation of audio, video, image, sentence, and word data including validation, categorization, and conversational interactions.
  • Content creation and correction to ensure high‑quality linguistic data.
  • Evaluation and localization of annotated content.

Requirements

  • Bachelor’s degree in Linguistics, Languages, Literature, or a related field.
  • Native or near‑native proficiency in Turkish.
  • Fluent in English with strong listening, writing, spelling, and attention to detail.
  • Solid command of linguistic theory, grammar, and language structure.
  • Strong writing, editing, and communication skills.
  • Computer literacy.

Preferred Skills

  • Experience in computational linguistics, corpus analysis, language data annotation, or large language model training.
  • Strong attention to detail.

Technical & Working Requirements

  • Stable internet connection.
  • Headphones.
  • Secure internet location protected by a strong password.

Legal Notice

Sigma.AI does not hire through third parties. The company may employ or rely on artificial intelligence systems in its selection process in an ethical, transparent, and legally compliant manner. The purpose of processing is to evaluate tests submitted during the selection process, such as transcribed content provided by candidates. The legal basis for processing your data is the pre‑contractual relationship between the parties and/or the provision of requested services.

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Stelleninformationen

  • Veröffentlichungsdatum:

    20 Mai 2026
  • Standort:

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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