Hindi Translator (Freelancer)
Soul AI · Pune · onsite · Posted 36d ago
Undisclosed4–8 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
About Us:
We are a new-age AI solutions firm with an ultra-high-quality talent pool out of India for RLHF
Our experts in the specific domain of their expertise help curate hyper-specific LLM datasets
We have operations across the US and India and are working with the top AI firms globally to take their large language models (LLMs) to the next level of quality and consistency
We are looking for skilled freelance translators who are proficient in Hindi
This role involves translation and content creation
If you are fluent in reading, writing/typing, and communicating in Hindi and are seeking a flexible, remote role, this opportunity is for you!
Key Responsibilities:
Translate content to Hindi
Create high-quality, culturally relevant written content as needed
Maintain consistency, accuracy, and context in all tasks
Requirements:
Fluency in reading, writing/typing, and understanding in Hindi
Strong translation, and communication skills
Previous experience in content creation, transcription, or translation is a plus
Why join us
Pay up to ‚500 per hour, with potential for growth based on performance
Flexible working hours
Remote work opportunity, offering work-life balance
NOTEPay will vary by project and typically is up to Rs
500 per hour (if you work an average of 3 hours every day that could be as high as Rs 45K per month) once you clear our screening process
Join us and be part of a dynamic team creating impactful multilingual content!
Sourced from naukri
Skills
Article WritingBlog Writinghindi typingfreelancingContent EditingEditingContent DevelopmentCopy WritingCreative WritingCopy EditingContent CreationTranscriptionContent WritingGraphic DesigningWeb Content WritingProof Reading
About Soul AI
Soul AI
Emerging Technologies
₹9.4L PA avg
Avg at Soul AI
About
Soul AI provides advanced AI solutions, specializing in the curation of specialized datasets to enhance the performance of large language models globally.
Employee ratings
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Culture
3.5
Career growth
3.2
Work-life
3.9
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