AI Trainer: Computer Science
Soul AI · Hyderabad · onsite · Posted 36d ago
Undisclosed4–8 yrsfulltimeSourced from
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About this role
About Us:
Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS
We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more
Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact
We are seeking experienced AI Trainer-Computer Science with a minimum of 1 year of experience to join us in Hyderabad and contribute to impactful AI training projects
Key Responsibilities:
Create, review, and refine content related to algorithms, data structures, operating systems, databases, and more
Evaluate AI-generated code and CS content for technical accuracy and clarity
Identify and debug conceptual or logical errors in AI-driven technical responses
Contribute to training and fine-tuning LLMs using RLHF methodologies
Required Qualifications:
1+ year of experience in Computer Science or related fields (Teaching, Software Development, Academic Content, etc
)
Strong grasp of core subjects like DSA, DBMS, OS, Networking, and Programming Concepts
Proficiency in analyzing and improving technical AI-generated outputs
Knowledge of CS curriculum at the undergraduate level is a plus
Why Join Us
Work in a competitive environment
Hands-on experience working on real-world AI training tasks
Competitive stipend (Rs
25,000- 35,000)
Shape the future of AI with Soul AI!
)
Strong grasp of core subjects like DSA, DBMS, OS, Networking, and Programming Concepts
Sourced from naukri
Skills
dbmsOnline Tutoringcmathematicsteachingtutoringteaching mathematicslecturer activitiesbiologyPhysicsHTMLC plus plusJavascriptCSSSpring BootJavaComputer ScienceHibernate
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.
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