Deep Research Annotator (Computer Science)

Soul AI; India; Remote; INR 1,653,120 - 2,066,400; Part time

Benefits offered by this job

Flexible freelancing opportunity

Collaboration with domain experts

High-impact projects

Job summary

A pioneering technology company is looking for a Deep Research Annotator (Computer Science) to validate reasoning in machine learning and algorithms. You will work on high-impact projects, collaborating with top-tier engineers. Ideal candidates have a BSc/MSc in Computer Science alongside solid experience in research and debugging. This part-time role offers a flexible freelancing opportunity with pay up to ₹1500 per hour, contributing to AI for Good initiatives.

Qualifications

• BSc/MSc in Computer Science, ML, or related areas required.
• Strong understanding of algorithms or systems architecture.
• Experience in verifying experiments or debugging code.

Responsibilities

• Annotate reasoning in ML, algorithms, systems, and security questions.
• Validate code snippets and proofs.
• Identify inconsistencies or unsupported arguments.

Skills

Strong understanding of ML fundamentals

Experience reading CS papers

Strong understanding of algorithms

Debugging code

Education

BSc/MSc in Computer Science

Related areas

Job description

Deep Research Annotator (Computer Science)

Join to apply for the Deep Research Annotator (Computer Science) role at Soul AI

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.

About the Role:

You will evaluate Deep research annotator reasoning across algorithms, systems, ML, and theoretical concepts. The job involves validating research claims, checking code logic, and analyzing methodology. Ideal for candidates with strong CS fundamentals and research exposure.

Responsibilities:

• Annotate reasoning in ML, algorithms, systems, and security questions.
• Validate code snippets, proofs, and experiment setups.
• Check alignment between claims, evidence, and methodology.
• Identify inconsistencies, hallucinations, or unsupported arguments.
• Produce structured annotations to train high-quality CS models.

Skills & Experience Required:

• BSc/MSc in Computer Science, ML, or related areas.
• Strong understanding of ML fundamentals, algorithms, or systems architecture.
• Experience reading CS papers, verifying experiments, or debugging code.
• Skilled in evaluating ML claims, algorithmic proofs, code correctness, and research reasoning.

Why Join Us?

• Work on high-impact projects that contribute to building AI for Good.
• Collaborate with top-tier engineers and domain experts from IITs, NITs, and BITS.
• Opportunity to grow in a fast-paced, innovation-driven environment.

Note: This will be a flexible freelancing opportunity. Pay will vary by project and typically is up to ₹1500 per hour.

Seniority level: Not Applicable

Employment type: Part-time

Job function: Engineering and Information Technology

Industries: IT Services and IT Consulting

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