Data Annotation - Internship

About the internship:Selected intern's day-to-day responsibilities include:

1. Annotate, tag, and label regional language text and audio data as per provided AI guidelines.

2. Transcribe, review, and translate audio/text data for accuracy, tone, and context.

3. Flag errors and inconsistencies in transcriptions to help maintain quality benchmarks.

4. Organize, clean, and manage datasets using MS Excel, Google Sheets, or annotation tools.

5. Support full-time language experts and AI developers on day-to-day project tasks.Who can apply:Only those candidates can apply who:are available for full time (in-office) internshipcan start the internship between 19th Oct'26 and 23rd Nov'26are available for duration of 3 monthshave relevant skills and interests* Freshers looking for jobs may also applyStipend:INR₹ 15,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Flexible work hours, Informal dress code, 5 days a week, Job offerSkills required:MS-Excel, Translation, Transcription and Data AnnotationOther Requirements:Target Regional Languages: Kannada, Tamil, Telugu, Bengali, Marathi, Gujarati, Malayalam, etc.About Company:PinnacleWorks believes in always evolving and has worked with the futuristic vision to revolutionize the IT industry with its innovative solutions since its establishment. We believe that in this era of advancing technology, businesses can grow only if they have the right strategy and the right tools. Digitization and smart automation are two game-changing strategies. Although digitization has been welcomed by many, it alone can't solve all the problems. Smart automation of processes is also required for businesses to grow and evolve.Additional information:

Stipend Structure:

Fixed pay: ₹ 12,000 /month

Incentive pay: ₹ 3,000 /month

Job offer: On successful conversion to a permanent employee, the candidate can expect a salary of ₹ 400000 to 450000/year

Responsibilities

Selected intern's day-to-day responsibilities include:

1. Annotate, tag, and label regional language text and audio data as per provided AI guidelines.

2. Transcribe, review, and translate audio/text data for accuracy, tone, and context.

3. Flag errors and inconsistencies in transcriptions to help maintain quality benchmarks.

4. Organize, clean, and manage datasets using MS Excel, Google Sheets, or annotation tools.

5. Support full-time language experts and AI developers on day-to-day project tasks.