About Globose Technology Solutions Pvt Ltd (GTS)

Globose Technology Solutions Pvt Ltd (GTS) is a pioneering AI data collection company that provides diverse datasets, including image datasets, video datasets, text datasets, and speech datasets. Our mission is to empower machine learning models with high-quality data, driving innovation and advancements in AI technology. We are currently looking to expand our team and invite applications for the position of Text Data Transcriptionist.

Job Description

Globose Technology Solutions Pvt Ltd (GTS) is seeking detail-oriented and dedicated Text Data Transcriptionists to join our dynamic team. As a Text Data Transcriptionist, you will be responsible for converting audio recordings into written text with high accuracy. This role is crucial in ensuring that our text datasets meet the high standards required for training sophisticated machine learning models.

Key Responsibilities

• Transcription: Accurately transcribe audio files into written text.
• Editing and Proofreading: Review and edit transcriptions to ensure accuracy, grammar, and consistency.
• Data Management: Organize and manage transcription files and associated metadata.
• Quality Assurance: Conduct quality checks on transcriptions to ensure they meet the required standards.
• Collaboration: Work closely with the data annotation and data collection teams to ensure seamless integration of text data into larger datasets.

Requirements

• Experience: Proven experience in transcription, preferably in a technical or data-driven environment.
• Skills: Excellent listening skills and a keen eye for detail.
• Typing Speed: Fast and accurate typing skills.
• Language Proficiency: Proficiency in English is required; additional language skills are a plus.
• Technical Skills: Familiarity with transcription software and tools.
• Reliability: Ability to meet deadlines and manage time effectively.
• Adaptability: Willingness to adapt to new transcription guidelines and procedures.

Preferred Qualifications

• Experience with AI and machine learning datasets.
• Familiarity with different transcription styles and standards.
• Background in linguistics or language studies.