About Perle This is your chance to be a core contributor to the future of Artificial Intelligence. perle.ai is advancing the next generation of global language models (LLMs) and we need your linguistic expertise. We call our team the "Experts"—because we believe that AI is only as smart as its teachers. As a Language Specialist, you will be an indispensable voice, using your native knowledge of Hindi to train AI for cultural precision, accuracy, and true human understanding. If you're passionate about language and ready to shape technology that impacts the world, we want you. The Opportunity We are seeking a highly skilled and detail-oriented Hindi Speaker with native-level fluency to evaluate and improve the quality of linguistic data, specifically in text and audio formats, for an AI/Natural Language Processing (NLP) project with perle.ai. What You'll Do Data Annotation & Evaluation: Accurately evaluate and annotate large volumes of text and audio data in Hindi for linguistic quality, accuracy, clarity, and cultural appropriateness. Error Identification: Identify and categorize grammatical errors, syntactic issues, semantic inconsistencies, transcription errors, and inappropriate or non-native phrasing. Quality Assurance: Ensure the linguistic data adheres to project-specific guidelines and high-quality standards. Feedback & Reporting: Document and report linguistic issues and trends, providing clear, constructive feedback to improve the overall language model performance. Qualifications Native Speaker & Residency: Must have native-level fluency of Hindi and currently residing in India. Education: Bachelor's Degree (minimum) from an accredited institution. Linguistic Background (Preferred): A degree in Linguistics, Hindi Language Studies, Translation, or a related field is highly preferred.
About Perle This is your chance to be a core contributor to the future of Artificial Intelligence. perle.ai is advancing the next generation of global language models (LLMs) and we need your linguistic expertise. We call our team the "Experts"—because we believe that AI is only as smart as its teachers. As a Language Specialist, you will be an indispensable voice, using your native knowledge of Tamil to train AI for cultural precision, accuracy, and true human understanding. If you're passionate about language and ready to shape technology that impacts the world, we want you. The Opportunity We are seeking a highly skilled and detail-oriented Tamil Speaker with native-level fluency to evaluate and improve the quality of linguistic data, specifically in text and audio formats, for an AI/Natural Language Processing (NLP) project with perle.ai. What You'll Do Data Annotation & Evaluation: Accurately evaluate and annotate large volumes of text and audio data in Tamil for linguistic quality, accuracy, clarity, and cultural appropriateness. Error Identification: Identify and categorize grammatical errors, syntactic issues, semantic inconsistencies, transcription errors, and inappropriate or non-native phrasing. Quality Assurance: Ensure the linguistic data adheres to project-specific guidelines and high-quality standards. Feedback & Reporting: Document and report linguistic issues and trends, providing clear, constructive feedback to improve the overall language model performance. Qualifications Native Speaker & Residency: Must be a have native-level fluency in Tamil and currently residing in Sri Lanka. Education: Bachelor's Degree (minimum) from an accredited institution. Linguistic Background (Preferred): A degree in Linguistics, Tamil Language Studies, Translation, or a related field is highly preferred.
About Perle This is your chance to be a core contributor to the future of Artificial Intelligence. perle.ai is advancing the next generation of global language models (LLMs) and we need your linguistic expertise. We call our team the "Experts"—because we believe that AI is only as smart as its teachers. As a Language Specialist, you will be an indispensable voice, using your native knowledge of Hindi to train AI for cultural precision, accuracy, and true human understanding. If you're passionate about language and ready to shape technology that impacts the world, we want you. The Opportunity We are seeking a highly skilled and detail-oriented Hindi Speaker with native-level fluency to evaluate and improve the quality of linguistic data, specifically in text and audio formats, for an AI/Natural Language Processing (NLP) project with perle.ai. What You'll Do Data Annotation & Evaluation: Accurately evaluate and annotate large volumes of text and audio data in Hindi for linguistic quality, accuracy, clarity, and cultural appropriateness. Error Identification: Identify and categorize grammatical errors, syntactic issues, semantic inconsistencies, transcription errors, and inappropriate or non-native phrasing. Quality Assurance: Ensure the linguistic data adheres to project-specific guidelines and high-quality standards. Feedback & Reporting: Document and report linguistic issues and trends, providing clear, constructive feedback to improve the overall language model performance. Qualifications Native Speaker & Residency: Must have native-level fluency of Hindi and currently residing in India. Education: Bachelor's Degree (minimum) from an accredited institution. Linguistic Background (Preferred): A degree in Linguistics, Hindi Language Studies, Translation, or a related field is highly preferred.
About Perle This is your chance to be a core contributor to the future of Artificial Intelligence. perle.ai is advancing the next generation of global language models (LLMs) and we need your linguistic expertise. We call our team the "Experts"—because we believe that AI is only as smart as its teachers. As a Language Specialist, you will be an indispensable voice, using your native knowledge of Tamil to train AI for cultural precision, accuracy, and true human understanding. If you're passionate about language and ready to shape technology that impacts the world, we want you. The Opportunity We are seeking a highly skilled and detail-oriented Tamil Speaker with native-level fluency to evaluate and improve the quality of linguistic data, specifically in text and audio formats, for an AI/Natural Language Processing (NLP) project with perle.ai. What You'll Do Data Annotation & Evaluation: Accurately evaluate and annotate large volumes of text and audio data in Tamil for linguistic quality, accuracy, clarity, and cultural appropriateness. Error Identification: Identify and categorize grammatical errors, syntactic issues, semantic inconsistencies, transcription errors, and inappropriate or non-native phrasing. Quality Assurance: Ensure the linguistic data adheres to project-specific guidelines and high-quality standards. Feedback & Reporting: Document and report linguistic issues and trends, providing clear, constructive feedback to improve the overall language model performance. Qualifications Native Speaker & Residency: Must be a have native-level fluency in Tamil and currently residing in India. Education: Bachelor's Degree (minimum) from an accredited institution. Linguistic Background (Preferred): A degree in Linguistics, Tamil Language Studies, Translation, or a related field is highly preferred.
About Perle This is your chance to be a core contributor to the future of Artificial Intelligence. perle.ai is advancing the next generation of global language models (LLMs) and we need your linguistic expertise. We call our team the "Experts"—because we believe that AI is only as smart as its teachers. As a Language Specialist, you will be an indispensable voice, using your native knowledge of Urdu to train AI for cultural precision, accuracy, and true human understanding. If you're passionate about language and ready to shape technology that impacts the world, we want you. The Opportunity We are seeking a highly skilled and detail-oriented Urdu Speaker with native-level fluency to evaluate and improve the quality of linguistic data, specifically in text and audio formats, for an AI/Natural Language Processing (NLP) project with perle.ai. What You'll Do Data Annotation & Evaluation: Accurately evaluate and annotate large volumes of text and audio data in Urdu for linguistic quality, accuracy, clarity, and cultural appropriateness. Error Identification: Identify and categorize grammatical errors, syntactic issues, semantic inconsistencies, transcription errors, and inappropriate or non-native phrasing. Quality Assurance: Ensure the linguistic data adheres to project-specific guidelines and high-quality standards. Feedback & Reporting: Document and report linguistic issues and trends, providing clear, constructive feedback to improve the overall language model performance. Qualifications Native Speaker & Residency: Must have native-level fluency of Urdu and currently residing in India. Education: Bachelor's Degree (minimum) from an accredited institution. Linguistic Background (Preferred): A degree in Linguistics, Urdu Language Studies, Translation, or a related field is highly preferred.
About Perle This is your chance to be a core contributor to the future of Artificial Intelligence. perle.ai is advancing the next generation of global language models (LLMs) and we need your linguistic expertise. We call our team the "Experts"—because we believe that AI is only as smart as its teachers. As a Language Specialist, you will be an indispensable voice, using your native knowledge of Telugu to train AI for cultural precision, accuracy, and true human understanding. If you're passionate about language and ready to shape technology that impacts the world, we want you. The Opportunity We are seeking a highly skilled and detail-oriented Telugu Speaker with native-level fluency to evaluate and improve the quality of linguistic data, specifically in text and audio formats, for an AI/Natural Language Processing (NLP) project with perle.ai. What You'll Do Data Annotation & Evaluation: Accurately evaluate and annotate large volumes of text and audio data in Telugu for linguistic quality, accuracy, clarity, and cultural appropriateness. Error Identification: Identify and categorize grammatical errors, syntactic issues, semantic inconsistencies, transcription errors, and inappropriate or non-native phrasing. Quality Assurance: Ensure the linguistic data adheres to project-specific guidelines and high-quality standards. Feedback & Reporting: Document and report linguistic issues and trends, providing clear, constructive feedback to improve the overall language model performance. Qualifications Native Speaker & Residency: Must have native-level fluency of Telugu and currently residing in India. Education: Bachelor's Degree (minimum) from an accredited institution. Linguistic Background (Preferred): A degree in Linguistics, Telugu Language Studies, Translation, or a related field is highly preferred.
About Perle This is your chance to be a core contributor to the future of Artificial Intelligence. perle.ai is advancing the next generation of global language models (LLMs) and we need your linguistic expertise. We call our team the "Experts"—because we believe that AI is only as smart as its teachers. As a Language Specialist, you will be an indispensable voice, using your native knowledge of Gujarati to train AI for cultural precision, accuracy, and true human understanding. If you're passionate about language and ready to shape technology that impacts the world, we want you. The Opportunity We are seeking a highly skilled and detail-oriented Gujarati Speaker with native-level fluency to evaluate and improve the quality of linguistic data, specifically in text and audio formats, for an AI/Natural Language Processing (NLP) project with perle.ai. What You'll Do Data Annotation & Evaluation: Accurately evaluate and annotate large volumes of text and audio data in Gujarati for linguistic quality, accuracy, clarity, and cultural appropriateness. Error Identification: Identify and categorize grammatical errors, syntactic issues, semantic inconsistencies, transcription errors, and inappropriate or non-native phrasing. Quality Assurance: Ensure the linguistic data adheres to project-specific guidelines and high-quality standards. Feedback & Reporting: Document and report linguistic issues and trends, providing clear, constructive feedback to improve the overall language model performance. Qualifications Native Speaker & Residency: Must have native-level fluency of Gujarati and currently residing in India. Education: Bachelor's Degree (minimum) from an accredited institution. Linguistic Background (Preferred): A degree in Linguistics, Gujarati Language Studies, Translation, or a related field is highly preferred.
About Perle This is your chance to be a core contributor to the future of Artificial Intelligence. perle.ai is advancing the next generation of global language models (LLMs) and we need your linguistic expertise. We call our team the "Experts"—because we believe that AI is only as smart as its teachers. As a Language Specialist, you will be an indispensable voice, using your native knowledge of Marathi to train AI for cultural precision, accuracy, and true human understanding. If you're passionate about language and ready to shape technology that impacts the world, we want you. The Opportunity We are seeking a highly skilled and detail-oriented Marathi Speaker with native-level fluency to evaluate and improve the quality of linguistic data, specifically in text and audio formats, for an AI/Natural Language Processing (NLP) project with perle.ai. What You'll Do Data Annotation & Evaluation: Accurately evaluate and annotate large volumes of text and audio data in Marathi for linguistic quality, accuracy, clarity, and cultural appropriateness. Error Identification: Identify and categorize grammatical errors, syntactic issues, semantic inconsistencies, transcription errors, and inappropriate or non-native phrasing. Quality Assurance: Ensure the linguistic data adheres to project-specific guidelines and high-quality standards. Feedback & Reporting: Document and report linguistic issues and trends, providing clear, constructive feedback to improve the overall language model performance. Qualifications Native Speaker & Residency: Must have a native-level fluency in Marathi and currently residing in India. Education: Bachelor's Degree (minimum) from an accredited institution. Linguistic Background (Preferred): A degree in Linguistics, Marathi Language Studies, Translation, or a related field is highly preferred.