Première détection par notre source: il y a 26 jours
Malayalam Document Expert - Fully Remote | Upto $12/hr
@ Mercor
Toronto, Ontario
En bref
Mercor is hiring a remote Malayalam document expert on a contract basis at $13 per hour. The work is to find public Malayalam PDFs, annotate their page structure, and transcribe text exactly in Malayalam script.
Salaire :
13 $ de l’heure
Responsabilités :
- Source public Malayalam PDFs with multimodal elements
- Annotate page regions, component types and reading order
- Link regions to parent components
- Transcribe Malayalam text exactly, flagging illegible areas
- Review a colleague's annotation work
Résumé des exigences :
- Native Malayalam speaker with full script command
- Experience in annotation, transcription or translation
- Exact character-level accuracy
- Comfort with multi-column and handwritten layouts
Outils et compétences
Source et dates
Type de source non vérifié · manatal
- Date publiée par l’employeur
- Non fourni
- Première détection par notre source
- 2026-10-15
- Mise à jour du dossier source
- 2026-10-15
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Mercor
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
We connect human expertise with leading AI labs and enterprises to train frontier models.
Description complète de l’entreprise
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
- Abonnés LinkedIn
- 654 507
- Personnes associées sur LinkedIn
- 5 250
- Bureaux déclarés
- San Francisco, California 94105, US
- Catégories d’activité
- Employment
- Software
- Recruiting
- Data Collection and Labeling
- Artificial Intelligence (AI)
- Machine Learning
- Autres noms enregistrés
- Mercor
- Le profil indique une agence de recrutement
- Oui
- Investissement total déclaré
- 483 600 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 51-200 employees |
| Siège social | San Francisco, California |
| Type d’organisation | Privately Held |
| Fondée en | 2023 |
| Offres sur Jobsy | 1 626 |
| Voir la page |
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: PDF Annotation & Transcription Experts – Malayalam
Type: Contract
Compensation: $13/hour
Location: Remote
Role Responsibilities
- Source documents: find publicly accessible Malayalam PDFs with multimodal elements and record their sources.
- Annotate structure: identify and bound every meaningful region of the page and assign component types and reading-order indices.
- Record relationships: link each region to its parent component through an identifier.
- Transcribe faithfully: reproduce all text exactly as it appears in Malayalam script, flagging illegible regions.
- Capture page metadata: document language, type, source, dimensions, and flags for tables, formulas, and handwriting.
- Review a colleague's work: experienced annotators review tasks end to end.
Qualifications
Must-Have
- Native Malayalam speaker with full command of the script.
- Experience in annotation, transcription, translation, localization, or regional-language data review.
- Exact character-level accuracy.
- Systematic application of taxonomy across pages.
- Comfort with unfamiliar layouts like multi-column newspapers and handwritten forms.
Preferred
- Experience with regional-language AI data annotation, labeling, or bilingual evaluation.
- Skills in transcription and localization, such as MTPE, subtitling, or OCR correction.
- Document production experience: typesetting, copy-editing, or proofreading.
- Knowledge of script and encoding: Unicode normalization, input methods, numeral-form, and character-form accuracy.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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