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Experience Level
Entry Level
Qualifications
Key Responsibilities:Accurately annotate and transcribe Hindi audio files.Convert voice recordings into clear and structured text.Validate transcriptions to ensure consistency and high quality.Adhere to predefined guidelines and project instructions.Meet productivity targets while maintaining data accuracy.Independently complete tasks within set deadlines.Collaborate with internal teams to address data-related queries.Enhance AI model performance through high-quality data input.Ideal Candidate Profile:Fluent in Hindi with a strong command of English.Excellent listening, comprehension, and typing skills.Meticulous attention to detail for repetitive tasks.Willingness to work 40-50 hours per week.Able to work remotely with minimal supervision.Access to a functional laptop and stable internet connection.Available to start immediately.Interest in AI, data annotation, or transcription (prior experience not required).
About the job
Salary
₹3.6 - 4.2 LPA
Min Experience: 0 years
Location: Bangalore
Job Type: Full-time
Join us as a Voice Data Annotator (Hindi) and play a vital role in advancing the next generation of Voice AI technology. This is a fully remote position, perfect for individuals eager to embark on a career in the field of Artificial Intelligence and data processing. You will be responsible for annotating and transcribing Hindi audio data, contributing to the enhancement of AI model accuracy and performance. This opportunity is ideal for those who possess strong language skills, attention to detail, and a desire to learn in a fast-paced environment.
About weekday-1
weekday-1 is at the forefront of AI technology development, dedicated to enhancing the capabilities of voice recognition systems. We value innovation, collaboration, and a commitment to excellence as we strive to revolutionize how humans interact with machines.
Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Unlock Your Potential
Generate Job-Optimized Resume
One Click And Our AI Optimizes Your Resume to Match The Job Description.
Is Your Resume Optimized For This Role?
Find Out If You're Highlighting The Right Skills And Fix What's Missing
Experience Level
Entry Level
Qualifications
Key Responsibilities:Accurately annotate and transcribe Hindi audio files.Convert voice recordings into clear and structured text.Validate transcriptions to ensure consistency and high quality.Adhere to predefined guidelines and project instructions.Meet productivity targets while maintaining data accuracy.Independently complete tasks within set deadlines.Collaborate with internal teams to address data-related queries.Enhance AI model performance through high-quality data input.Ideal Candidate Profile:Fluent in Hindi with a strong command of English.Excellent listening, comprehension, and typing skills.Meticulous attention to detail for repetitive tasks.Willingness to work 40-50 hours per week.Able to work remotely with minimal supervision.Access to a functional laptop and stable internet connection.Available to start immediately.Interest in AI, data annotation, or transcription (prior experience not required).
About the job
Salary
₹3.6 - 4.2 LPA
Min Experience: 0 years
Location: Bangalore
Job Type: Full-time
Join us as a Voice Data Annotator (Hindi) and play a vital role in advancing the next generation of Voice AI technology. This is a fully remote position, perfect for individuals eager to embark on a career in the field of Artificial Intelligence and data processing. You will be responsible for annotating and transcribing Hindi audio data, contributing to the enhancement of AI model accuracy and performance. This opportunity is ideal for those who possess strong language skills, attention to detail, and a desire to learn in a fast-paced environment.
About weekday-1
weekday-1 is at the forefront of AI technology development, dedicated to enhancing the capabilities of voice recognition systems. We value innovation, collaboration, and a commitment to excellence as we strive to revolutionize how humans interact with machines.